I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Scale AI
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 6
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: AI Trainer - Advanced Urdu Fluency (PST)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4747724101
EXCERPT: AI Trainer - Advanced Urdu Fluency (PST) Remote AI Trainer - Advanced Urdu Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Urdu Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Urdu. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI
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TITLE: BDR Manager
EMPLOYER: Aircall
LOCATION: London Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-31
APPLY_URL: https://jobs.lever.co/aircall/19a7a44c-db30-46f6-a59b-1ab13a9d5e62
EXCERPT: BDR Manager London Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp,
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TITLE: AI Silicon Physical Design Engineer
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States; Sunnyvale, CA (remote)
SALARY: $150K-$250K
POSTED: 2025-04-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6549894003
EXCERPT: AI Silicon Physical Design Engineer Remote, California, United States; Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture. Skills & Qualifications - 10+ years of physical design & physical verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Strong experience in block/subsystem timing closure. - Expert at optimizing for the
---
TITLE: AI Educator
EMPLOYER: Higgsfield
LOCATION: San Francisco / Los Angeles, California, USA (unspecified)
SALARY: $110K-$125K
POSTED: 2026-01-14
APPLY_URL: https://jobs.ashbyhq.com/higgsfieldai/381bdce4-7aa1-4db5-b6ae-4411af8ee793
EXCERPT: AI Educator San Francisco / Los Angeles, California, USA About Higgsfield Higgsfield AI is the leading video AI company redefining synthetic media on socials. The company is entering its next stage of scale with $200M+ run-rate sales in just 9 months after launch, and a fresh $130M Series A. Who we are looking for - Deep understanding of generative AI workflows for video, creative, marketing, and advertising use cases. - Strong hands-on content creation skills across AI video, UGC, social content, and creative storytelling. - Exceptional communication and presentation abilities, with the ability to simplify complex AI concepts for both technical and non-technical audiences. - Experience educating teams, leading workshops, onboarding users, or training enterprise stakeholders. - Passion for helping brands, creators, and sales teams understand how AI changes modern content production. - Strong curiosity around emerging AI tools, creative trends, and the future of synthetic media. What you will work on - Enterprise product demos : Lead structured, high-impact product demos for client stakeholders, tailored to specific use cases, industries, and workflows, while clearly communicating product capabilities and roadmap. - Educational sales tools & thought leadership : Develop keynote decks, presentations, and storytelling content for industry events and client meetings that position Higgsfield as a leader in GenAI creative. - Sales enablement assets : Partner with B2B sales to create personalized, brand-relevant creative assets for pitches, including branded UGC videos, editorial imagery, and ad concepts that clearly demonstrate Higgsfield's value for each client. - Client adoption and training :
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TITLE: Lead AI Engineer, Data Solutions
EMPLOYER: Salesforce
LOCATION: California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York (unspecified)
SALARY: $208K-$286K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr341433/lead-ai-engineer-data-solutions/
EXCERPT: Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop
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TITLE: Principal Engineer - AI Products & Platform, Remote
EMPLOYER: Aledade
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-03-13
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 4
APPLY_URL: https://jobs.lever.co/aledade/428933a9-1cab-4fb0-9c03-e5494d7aed0c
EXCERPT: Principal Engineer - AI Products & Platform, Remote Remote, United States As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered product ecosystem: from architecting the foundations of next‑generation agentic and AI‑enabled experiences, to scaling our platform to millions of users worldwide. Reporting to our SVP of Engineering and collaborating closely with our Distinguished Engineer, you'll set technical direction across a broad horizontal product space, guide dozens of engineering teams, and build systems from V0 through V2 that are both innovative and production‑ready. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company's next chapter. As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered product ecosystem: from architecting the foundations of next‑generation agentic and AI‑enabled experiences, to scaling our platform to millions of users worldwide. Reporting to our SVP of Engineering and collaborating closely with our Distinguished Engineer, you'll set technical direction across a broad horizontal product space, guide dozens of engineering teams, and build systems from V0 through V2 that are both innovative and production‑ready. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company's next chapter. Primary Duties: - Architect complex systems and make critical technical decisions. - Solve challenging technical problems with innovative solutions. - Mentor engineers and promote engineering
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TITLE: Director of Production (R4782)
EMPLOYER: Shield AI
LOCATION: Dallas, Texas (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/shieldai/8b747653-dba8-4133-9056-eeedc162dbcd
EXCERPT: Director of Production (R4782) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Do you thrive at the intersection of high-stakes execution and advanced technology? Shield AI is seeking a Director of Production to lead our U.S.-based manufacturing operations and help scale the future of autonomous defense systems. You'll drive execution across factory floor operations, partner cross-functionally with quality, engineering and supply chain teams, and ensure our production systems are ready for what's next. We're looking for a bold, hands-on leader who can inspire teams, architect production systems, and scale operations with intensity, precision, and a clear mission in mind. Job Description: Do you thrive at the intersection of high-stakes execution and advanced technology? Shield AI is seeking a Director of Production to lead our U.S.-based manufacturing operations and help scale the future of autonomous defense systems. You'll drive execution across factory floor operations, partner cross-functionally with quality, engineering and supply chain teams, and ensure our production systems are ready for what's next. We're looking for a bold, hands-on leader who can inspire teams, architect production systems, and scale operations with intensity, precision, and a clear mission in
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TITLE: Director of Costing Accounting
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7579627003
EXCERPT: Director of Costing Accounting Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Director of Cost Accounting will lead all cost accounting, inventory, and cost-related financial activities across manufacturing, infrastructure, and AI compute operations. This role is critical to ensuring accurate costing, capitalized asset accounting, and cost transparency across both training and inference workloads. This role requires comfort operating in a fast-paced, evolving environment, where priorities may shift and processes are still being built. The successful candidate will be expected to ramp quickly, close gaps, and contribute immediately, bringing structure, judgment, and execution while helping
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TITLE: AI Trainer - Computer Scientist (PST)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761598101
EXCERPT: AI Trainer - Computer Scientist (PST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Senior Principal Hardware System Architect
EMPLOYER: Astera Labs
LOCATION: United States, Remote (remote)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4692577005
EXCERPT: Senior Principal Hardware System Architect United States, Remote Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview The AI infrastructure landscape is evolving at breakneck speed, and Astera Labs is at the center of it - delivering the intelligent connectivity solutions that enable the most demanding AI and cloud workloads on the planet. As server platforms grow increasingly complex with multi-socket architectures, accelerator-dense configurations, and high-speed interconnect fabrics, the need for world-class hardware architects who can define and deliver these systems end-to-end has never been more critical. The AI Platform Solutions Group is seeking a Senior Principal Hardware / System Architect to lead the architecture, design, and development of next-generation x86 and accelerator-based server platforms. You will own system-level architecture decisions spanning compute, memory, storage, and interconnect subsystems - driving hardware platform development from concept through bring-up and validation. This role sits at the intersection of silicon, board design, FPGA/ASIC development, and platform integration, with direct impact on how AI infrastructure scales at the
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TITLE: Senior AI Machine Learning Engineer
EMPLOYER: The Hartford Financial Services Group, Inc.
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
APPLY_URL: https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/Chicago-IL/Senior-AI-Machine-Learning-Engineer_R2625298
EXCERPT: Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago
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TITLE: Senior Customer Success Manager (Scale Business)
EMPLOYER: Saviynt
LOCATION: El Segundo, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/saviynt/1d79b6a5-184a-491c-bd21-be7dafd77081
EXCERPT: Senior Customer Success Manager (Scale Business) El Segundo, CA Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. The Senior Customer Success Manager (Scale) will manage customer loyalty and adoption of Saviynt's innovative products and services for our Scale business segment, overseeing a portfolio of 35-38 accounts with annual recurring revenue (ARR) below $200k per account. Using our customers' business objectives and priorities as the foundation, the Sr. CSM will be responsible for driving value-based outcomes at scale by providing customer categorization, oversight, adoption recommendations, opportunities for increased service, and metrics analysis. In addition, the Sr. CSM will coordinate routine health checks and programmatic remediation to ensure our customers stay on track towards their goals. Optimal performance of this role results in greater customer happiness, retention, and expansion of Saviynt's business - all tied to a customer who is eager to recommend Saviynt to others. The Senior Customer Success Manager (Scale) will manage customer loyalty and adoption of Saviynt's innovative products and services for our Scale business segment, overseeing a portfolio of 35-38 accounts
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TITLE: AI Trainer - Advanced Urdu Fluency (UK)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4747728101
EXCERPT: AI Trainer - Advanced Urdu Fluency (UK) Remote AI Trainer - Advanced Urdu Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Urdu Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Urdu. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI
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TITLE: Applied AI Researcher, Benchmarking
EMPLOYER: Distyl AI
LOCATION: San Francisco, California, USA, New York (unspecified)
SALARY: $150K-$250K
POSTED: 2025-10-16
APPLY_URL: https://jobs.ashbyhq.com/distyl/cf166cd0-c30f-41c8-8e43-fa38e323014d
EXCERPT: Applied AI Researcher, Benchmarking San Francisco, California, USA, New York About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We Are Looking For At Distyl we're pushing the envelope of AI utilization in enterprise. This requires creative researchers who don't just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional
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TITLE: Research Engineer, Pretraining Scaling - London
EMPLOYER: Anthropic
LOCATION: London, UK (unspecified)
SALARY: GBP 260K-630K
POSTED: 2025-09-30
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/4938436008
EXCERPT: Research Engineer, Pretraining Scaling - London London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack-from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and
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TITLE: Solutions Engineer, Enterprise
EMPLOYER: Scale AI
LOCATION: San Francisco, CA; New York, NY (unspecified)
SALARY: $180K-$225K
POSTED: 2025-04-22
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4554440005
EXCERPT: Solutions Engineer, Enterprise San Francisco, CA; New York, NY Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: - Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. - Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. - Be accountable for securing the “technical win” by unblocking technical challenges - Interact with customers daily to understand their needs and design solutions to better serve them. - Design and develop “Scopes of Work” by breaking down customer challenges into a project plan - Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage - Work with
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TITLE: Site Reliability Engineer (Hosted Infra) - Platform
EMPLOYER: Swiftype
LOCATION: North America, United States (unspecified)
SALARY: $143K-$175K
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 6
APPLY_URL: https://jobs.elastic.co/jobs/department/engineering/united-states/site-reliability-engineer-hosted-infra-platform/7957649
EXCERPT: Site Reliability Engineer (Hosted Infra) - Platform North America, United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What You Will Be Doing: - Engineering software to automate large-scale systems - building internal tools and services, not just running scripts. - Optimizing the reliability and lifecycle of hosts across multiple cloud providers. - Strengthening our observability posture - crafting alerting and monitoring systems that drive incident prevention over incident response. - Scaling global infrastructure and evolving the
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TITLE: LaTeX Specialist - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: World Wide - Remote (remote)
SALARY: $8-$30/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4851533101
EXCERPT: LaTeX Specialist - Freelance AI Trainer Project World Wide - Remote Project Overview We are sourcing independent LaTeX Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly generate complex long-form content that blends mathematical and technical formatting with creative prose, their quality relies entirely on robust, expert-reviewed training data. The objective of this project is to autonomously evaluate, rewrite, and refine AI-generated text to meet specific stylistic guidelines while ensuring flawless LaTeX rendering and proper markdown formatting. Project Deliverables & Scope Operate autonomously to audit, edit, and refine complex AI outputs. Expected deliverables include: LaTeX & Math Rendering Correction: Identifying and correcting malformed LaTeX expressions, unclosed environments, and inaccurate mathematical notations within text. Stylistic Rewriting & Editing: Rewriting AI-generated text to meet strict stylistic, structural, and creative requirements, ensuring engaging prose, varied sentence structure, and pristine grammar. Markdown Formatting: Fixing broken markdown elements, including unclosed code blocks, inaccurate language tags, headers, and list numbering to ensure flawless structural formatting. Consistent Rubric Application: Applying complex, multi-part evaluation rubrics consistently across high volumes of tasks to generate clean, reliable data for model training. Localization & Standardization: Ensuring all generated text adheres strictly to spelling, grammar, and formatting conventions. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess strong technical formatting capabilities paired with a sharp editorial eye. Core skillset includes: Familiarity with LaTeX syntax, specifically the ability to accurately spot and correct malformed mathematical expressions and technical notations. Native or near-native English
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TITLE: Research Engineer, Pretraining Scaling
EMPLOYER: Anthropic
LOCATION: San Francisco, CA (unspecified)
SALARY: $350K-$850K
POSTED: 2025-09-30
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/4938432008
EXCERPT: Research Engineer, Pretraining Scaling San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack-from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain
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TITLE: AI Engineer
EMPLOYER: Zoom Communications, Inc.
LOCATION: Seattle (WA) (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/Software-Development-Engineer---Zoom-AI-API-Suite_R17822-1
EXCERPT: AI Engineer Seattle (WA) posted:
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TITLE: Site Reliability Engineer (Hosted Infra) - Platform
EMPLOYER: Elastic NV
LOCATION: United States (unspecified)
SALARY: $143K-$175K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 6
APPLY_URL: https://jobs.elastic.co/jobs?gh_jid=7957649&gh_jid=7957649
EXCERPT: Site Reliability Engineer (Hosted Infra) - Platform United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What you will be doing - Engineering software to automate large-scale systems - building internal tools and services, not just running scripts. - Optimizing the reliability and lifecycle of hosts across multiple cloud providers. - Strengthening our observability posture - crafting alerting and monitoring systems that drive incident prevention over incident response. - Scaling global infrastructure and evolving the infrastructure management
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TITLE: Senior Machine Learning Engineer - GenAI Platform
EMPLOYER: Databricks
LOCATION: San Francisco, California (unspecified)
SALARY: $166K-$225K
POSTED: 2023-09-29
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://databricks.com/company/careers/open-positions/job?gh_jid=6954585002
EXCERPT: Senior Machine Learning Engineer - GenAI Platform San Francisco, California P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI's pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities. Summary: Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. You will thrive in this role if you have a strong sense of
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TITLE: RE/RS, Data Understanding (MM)
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/d5331989-2a73-446c-be86-ca5379f27563
EXCERPT: RE/RS, Data Understanding (MM) San Francisco, California, United States About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You'll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. - Be excited by OpenAI's empirical, collaborative approach to research. Nice To Have - Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. - Thoughtfulness about AI's impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our
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TITLE: Senior Software Engineer
EMPLOYER: Irregular
LOCATION: Tel Aviv, Tel Aviv District, Israel (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-26
APPLY_URL: https://jobs.ashbyhq.com/irregular/3258b769-ba83-49fa-ba11-8cb98494dee9
EXCERPT: Senior Software Engineer Tel Aviv, Tel Aviv District, Israel About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As a Software Engineer at Irregular, you will take ownership of designing, building, and scaling the production systems that power our evaluation and security platform for frontier AI models. Your work will focus on creating robust, resilient, and high-performance infrastructure-whether that's distributed pipelines, backend services, or tooling that supports our research teams. This role is engineering-first with a strong research and cyber component. You will develop systems that must run reliably in production, integrate with external partners, and support large-scale data, experiments, and automated evaluations. You'll drive architectural decisions, lead technical implementations, and shape how our platform evolves. Representative Responsibilities: - Architecting and scaling production-grade systems and workflows. - Building backend services, APIs, and monitoring tools for large-scale model evaluations. - Designing infrastructure that supports research experiments at scale. - Implementing agent frameworks in production environments - Designing and building challenges that measure a model's ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools. You may
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TITLE: AI Platform Engineer
EMPLOYER: eBay Inc.
LOCATION: Bengaluru, Karnātaka, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ebay.wd5.myworkdayjobs.com/apply/job/Bengaluru-India/AI-Platform-Engineer_R0074430-1/apply
EXCERPT: AI Platform Engineer Bengaluru, Karnātaka, India Exciting opportunity for an AI Platform Engineer to design and operate large-scale Kubernetes-based AI infrastructure at eBay. Leverage your expertise in GPU clusters, RDMA networking, and distributed systems to power next-generation AI-driven platforms. Join a collaborative team driving innovation in global ecommerce technology.
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TITLE: Staff Technical Lead for Inference & ML Performance
EMPLOYER: Fal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2025-08-07
APPLY_URL: https://job-boards.greenhouse.io/fal/jobs/4012780009
EXCERPT: Staff Technical Lead for Inference & ML Performance San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Why this role matters You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands. What you'll do Day-to-day What success looks like Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions. fal's inference engine consistently outperforms industry benchmarks in throughput, latency, and efficiency. Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations. You regularly ship code that significantly improves model serving performance. Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques. Seamless integration of inference innovations rapidly moves from research to production deployment. Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies.
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TITLE: Machine Learning Software Development Engineer, AI Ops Integration
EMPLOYER: Amazon
LOCATION: Dublin, IRL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10438030/machine-learning-software-development-engineer-ai-ops-integration
EXCERPT: Machine Learning Software Development Engineer, AI Ops Integration Dublin, IRL As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Build and deploy ML/LLM-powered features across the full stack - from data pipelines and model serving to user-facing internal tools • Implement AI agent components that automate complex operational workflows across multiple systems and decision points • Develop internal front-end applications (dashboards, tools, products) that make AI outputs accessible to non-technical operations users at scale • Build integrations across internal APIs, databases, and MCP
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TITLE: Inkscape Specialist - AI Trainer
EMPLOYER: Handshake
LOCATION: Remote (USA), Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-03-09
APPLY_URL: https://jobs.ashbyhq.com/handshake/73ba68e1-0027-4d30-b2a5-e07743554b12
EXCERPT: Inkscape Specialist - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled Inkscape users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with vector design, logo creation, or print and web graphics to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and creative workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Inkscape user who has worked in or around roles like: - Graphic Designer or Visual Designer - Brand Designer or UI Designer - Print or Web Designer You should have solid experience with one or more of the following: - Vector illustration, logo design, or icon creation using Inkscape - Annotating or labeling graphic design assets - Creating design assets from structured briefs or brand guidelines - Reviewing vector graphics for quality, precision, or design consistency What You'll Do You'll use your experience with Inkscape to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - Minimum 3 years of hands-on experience with Inkscape , whether through professional work or freelance projects. - A working knowledge of vector design concepts and workflows - Strong written communication skills and
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TITLE: Staff Machine Learning Engineer
EMPLOYER: Cisco
LOCATION: Hyderabad, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Hyderabad-India/Software-Engineering-Technical-Leader--Backend-_2003694
EXCERPT: Staff Machine Learning Engineer Hyderabad, India Meet the Team You'll join a cross-functional AI engineering group working at the intersection of engineering, product, and data science to bring advanced AI capabilities into real-world production systems. The team focuses on building scalable AI/ML and Generative AI platforms and services that power intelligent features, agentic workflows, and data-driven products. We operate across the full lifecycle - from early experimentation and prototyping to production-grade deployment , scaling, and long-term system reliability. Innovation, strong engineering fundamentals, and applied AI excellence are core to how we work. Your Impact As a Staff Machine Learning Engineer , you will play a key role in translating AI innovation into scalable, reliable systems that deliver real business value. You will: Partner with engineering, product, and data science teams to convert requirements into prototypes and production-ready AI systems . Build, deploy, and scale AI/ML and Generative AI services , taking solutions from experimentation through full production. Design and operate high-performance AI systems , optimizing for inference latency, throughput, and cost efficiency at scale. Drive adoption of agentic AI architectures , LLM-powered features, and modern ML platform capabilities. Proactively identify innovation opportunities, explore emerging AI/ML approaches, and turn them into concrete technical proposals. Stay current with AI/ML advancements and apply relevant innovations to active initiatives. Influence system architecture and guide engineering best practices for ML platforms and cloud-native AI systems. Minimum Qualifications Strong backend development experience in Python (preferred) or Java . Experience building API-driven and event-driven services for AI
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TITLE: Senior Applied AI Engineer
EMPLOYER: Databricks
LOCATION: Belgrade, Serbia (unspecified)
SALARY: Not disclosed
POSTED: 2025-08-15
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://databricks.com/company/careers/open-positions/job?gh_jid=8091041002
EXCERPT: Senior Applied AI Engineer Belgrade, Serbia P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data. The impact you will have: - Build features and run end-to-end systems in a small team of experienced engineers and data scientists. - Shape the direction of our applied ML investment by engaging with engineering and product teams across the company. - Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure, and services. - Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments. - Work on novel modeling techniques in the field of ML for forecasting. - Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks' reputation as an industry leader. What we look
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TITLE: Sr. SDE- ML Data Infrastructure, Frontier AI Robotics
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $151K-$262K
POSTED: 2025-10-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3110591/sr-sde-ml-data-infrastructure-frontier-ai-robotics
EXCERPT: Sr. SDE- ML Data Infrastructure, Frontier AI Robotics San Francisco, California, USA Build and maintain scalable data infrastructure to support cutting-edge AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and
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TITLE: AI Productivity Engineer
EMPLOYER: Aircall
LOCATION: San Francisco Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/aircall/de252d15-97fd-4ecd-a05c-35d4b5b47782
EXCERPT: AI Productivity Engineer San Francisco Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. We are hiring a Software AI Engineer to join the Engineering Productivity (EngProd) team at Aircall. Your mission is to accelerate AI adoption across the engineering organization by building AI-powered
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TITLE: AI Data Associate with French, Artificial General Intelligence – Data Services
EMPLOYER: Amazon
LOCATION: Amman, JOR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425105/ai-data-associate-with-french-artificial-general-intelligence-data-services
EXCERPT: AI Data Associate with French, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose
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TITLE: AI Data Intelligence Leader — WW Channel Sales
EMPLOYER: Apple
LOCATION: Austin, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200630419/ai-data-intelligence-leader-ww-channel-sales?team=SLDEV
EXCERPT: AI Data Intelligence Leader — WW Channel Sales Austin, United States of America Apple's WW Channel Sales & Operations organization builds AI systems that predict optimal coverage, run experiments autonomously, and deliver decision intelligence across all global sales programs. In an increasingly agentic world, these models don't just inform human decisions - they power autonomous agents that act on them at global scale. This role owns the product vision and ML strategy for the decision intelligence platform that enables both people and agents to make better decisions, faster. You will own CSO's decision intelligence platform end-to-end: defining what it should do, building the ML models that power it, and scaling it globally. This spans predictive coverage models, an experimentation and uplift engine, a unified data management system across all sales programs, and the real-time visibility layer that surfaces automated insights to program leaders. The primary consumers of your models and intelligence layer are AI agents that make autonomous decisions. This changes what data quality means, what latency is acceptable, and how systems need to be designed. You'll lead a team of data scientists while partnering with a separate data engineering team for pipeline and infrastructure work, and a separate full-stack development team for product surfaces - though increasingly, agents will handle much of the integration and delivery work themselves. Own the product vision and roadmap for CSO's decision intelligence platform - spanning predictive coverage, experimentation & uplift, anomaly detection, and proactive automated insights Define the ML model portfolio: predictive coverage
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TITLE: Engineering Manager
EMPLOYER: Radiant
LOCATION: London, England, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-19
APPLY_URL: https://jobs.ashbyhq.com/radiant/0a1afe84-05a6-4e78-badb-4867915226fb
EXCERPT: Engineering Manager London, England, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. The Opportunity We are hiring an Engineering Manager to lead one of our core software teams. This is a high-impact leadership role focused on: - Growing and developing engineers - Delivering complex distributed systems - Maintaining engineering excellence - Aligning execution across multiple teams You will operate at the heart of our engineering organisation, partnering with Product, Principal Engineers, Infrastructure teams, and peer Engineering Managers to deliver systems that power AI at scale. What You'll Be Responsible For Leading a High-Performing Team - Build and develop a strong engineering team - Provide individual contributors with structured coaching and feedback, enabling career progression - Maintain high standards while fostering trust and autonomy - Hire and scale the team as we grow Driving Predictable Delivery - Translate roadmap priorities into clear execution plans - Ensure strong sprint cadence and continuous improvement - Manage risks and dependencies proactively - Ensure production-grade quality in every release Upholding
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TITLE: DFT Engineer
EMPLOYER: Astera Labs
LOCATION: Tel Aviv-Yafo, Tel Aviv District, Israel (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-15
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4649842005
EXCERPT: DFT Engineer Tel Aviv-Yafo, Tel Aviv District, Israel Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters. As a DFT Engineer at Astera Labs, you will be at the intersection of architecture, design, and production. You won't just run tools-you will be a foundational member of the team responsible for the entire lifecycle of our silicon's reliability. From defining initial DFT architecture to supporting post-silicon bring-up, your work ensures that the backbone of AI infrastructure connectivity is flawless and scalable.
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TITLE: Italian Audio Evaluations Specialist - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: World Wide - Remote (remote)
SALARY: $6-$65/hr
POSTED: 2026-06-12
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4896015101
EXCERPT: Italian Audio Evaluations Specialist - Freelance AI Trainer Project World Wide - Remote Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models. As AI models increasingly handle complex workflows in this domain-specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications-their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: Role-Play Scenario Execution: Creating and executing complex, role-play-based evaluation scenarios that simulate realistic customer service interactions across travel, finance, and technical support domains. Model Performance Auditing: Evaluating AI model performance across standardized qualitative and quantitative metrics, focusing strictly on task completion accuracy, conversational naturalness, and audio comprehension. Technical Metric Evaluation: Assessing the model's basic computer programming literacy, including its understanding of JSON structures, functions, methods, and ability to reason about structured data within a support context. Representative Dataset Generation: Contributing to the development of diverse, high-quality audio datasets that accurately reflect real customer expectations for clarity, efficiency, and natural conversational flow. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess deep industry knowledge to craft realistic professional scenarios. Core skillset includes: Demonstrable professional expertise in complex customer support, technical troubleshooting, or conversational AI evaluation. Native or bilingual
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TITLE: Machine Learning Engineer
EMPLOYER: ClaimSorted
LOCATION: London | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/claimsorted/d05bc30a-52cb-4203-b489-1b43d2d2552a
EXCERPT: Machine Learning Engineer London | OnSite MACHINE LEARNING ENGINEER ABOUT US ClaimSorted helps insurers outsource claims end to end - a service called Third-Party Administration (TPA), a ~$200B industry. We combine a strong in-house claims team with our AI-enabled platform to deliver up to 3× faster claims, better service, and better economics for insurers. Backed by Y Combinator, Atomico, and Eurazeo, we've raised $15M+ and already manage claims for over $100M in insurance premium across 30+ MGAs, including more than five publicly traded companies. Our goal: scale to $1B and become the most valuable TPA in the market. THE ROLE You will build the AI platform powering insurance claims - helping people get support during life's most critical moments. You'll work with insurance specialists to turn claims processes into AI-driven workflows and deploy machine learning solutions at scale. - Build AI systems that improve accuracy, speed up assessments, and enhance customer experience - Work with insurance specialists to turn claims processes into AI-driven workflows - Deploy machine learning solutions at scale - Help build the engineering team and shape the technical culture from the ground up - Work closely with founders and learn how to scale a startup from 0 to 1 We love working together in the office, so this is a full-time, office-based role in our London office. We're a high-intensity team and often put in significant time and effort, with some people working on weekends, because we believe great outcomes come from doing the work well. QUALIFICATIONS
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TITLE: AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-02-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200647866/aiml-senior-machine-learning-engineer-data-science-responsible-ai-and-safety?team=MLAI
EXCERPT: AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance;
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TITLE: Engagement Manager (Germany), Public Sector
EMPLOYER: Scale AI
LOCATION: Washington, DC (unspecified)
SALARY: $191K-$291K
POSTED: 2026-05-22
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4699033005
EXCERPT: Engagement Manager (Germany), Public Sector Washington, DC Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We're hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows who is eager to travel regularly to Europe and ultimately relocate to Germany to be onsite with customers. As an EM on our public sector delivery team, you will support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness - and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Be forward deployed in Germany with customers to scope agentic workflow use cases that Scale's engineering team will build and refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - A basic understanding of GenAI/ML
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TITLE: AI Trainer - Advanced JavaScript Developers (US & Canada)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4579527101
EXCERPT: AI Trainer - Advanced JavaScript Developers (US & Canada) Remote AI Trainer - Advanced JavaScript Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for JavaScript Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring JavaScript developer skills and verifiable professional experience as a JavaScript developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI
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TITLE: Engagement Manager (Hawaii), Public Sector
EMPLOYER: Scale AI
LOCATION: Honolulu, HI (unspecified)
SALARY: $166K-$249K
POSTED: 2026-04-21
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4687384005
EXCERPT: Engagement Manager (Hawaii), Public Sector Honolulu, HI Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We're hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness - and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale's engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers in locations throughout the
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TITLE: Technical Program Manager - Cloud Infrastructure and AI Platform
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $290K-$460K
POSTED: 2026-03-29
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315109417?microsite=netflix.com
EXCERPT: Technical Program Manager - Cloud Infrastructure and AI Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Role This Technical Program Manager will lead high-impact, cross-functional programs across Netflix's Cloud Infrastructure and AI Platform that deliver meaningful outcomes for both platform reliability and customer needs. You will drive fleet-wide modernization, agility, scalability, reliability, and efficiency, while abstracting complexity for internal customer teams. This includes partnering on migrations, adoption, and scaling of cloud infrastructure platforms and the AI Platform, enabling ML and AI practitioners to seamlessly develop, train, deploy, serve, and manage models. This role requires experience driving cloud infrastructure scalability, reliability, and efficiency at scale, a proven ability to develop deep internal customer relationships, and an understanding of how to adapt cloud infrastructure for changing business needs. Netflix's Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services. Responsibilities: Lead initiatives that drive adoption and scalability of infrastructure platforms, including large-scale platform modernization, migrations, and feature rollouts. Partner closely with leaders, engineers, PMs, and practitioners to decompose complex problem spaces into technical execution plans with well-defined
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TITLE: AI Trainer - Advanced Dutch Fluency
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4785429101
EXCERPT: AI Trainer - Advanced Dutch Fluency Remote AI Trainer - Advanced Dutch Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We are seeking fluent Dutch (Netherlands) speakers to participate in a high-impact AI training initiative. Unlike standard data entry, this role focuses on live human-to-human connection . You'll be paired with another participant to engage in natural, flowing conversations, which will help train the next generation of conversational AI. This is a short-term "sprint" project with high availability requirements. What you'll bring Collaborative learning: Help the AI understand the nuances, slang, and cultural context of Dutch from the Netherlands, through real-world interaction. Technical readiness: A willingness to complete a paid TestGorilla language assessment and a dialect verification check. Availability: Ability to commit to 30-60 minute blocks of uninterrupted conversation during the 3-week project window. A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Live pairings: You will be matched with another participant for 1-on-1 verbal or text-based exchanges. Dialect authenticity: Use your natural Dutch from Netherlands dialect to discuss various topics provided by the researcher.
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TITLE: Senior Machine Learning Engineer, AI, SIML
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200651112/senior-machine-learning-engineer-ai-siml?team=MLAI
EXCERPT: Senior Machine Learning Engineer, AI, SIML Cupertino, United States of America Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! We're seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with
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TITLE: Senior Engineering Manager, Apple Data Platform
EMPLOYER: Apple
LOCATION: Seattle, United States of America (unspecified)
SALARY: $217K-$326K
POSTED: 2026-05-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200664513/senior-engineering-manager-apple-data-platform?team=SFTWR
EXCERPT: Senior Engineering Manager, Apple Data Platform Seattle, United States of America We are looking for a Senior Engineering Manager to lead the team building foundational systems and services that power Apple's AI and Data governance platform. This role sits at the intersection of Big Data management, ML infrastructure, and Generative AI, enabling teams across the company to move from data to trained models efficiently, reliably, and at scale. You will lead efforts that enable governance of large scale data-lakes, and GenAI infrastructure spanning the entire GenAI model development lifecycle. Your work will ensure compliance with the latest AI regulations while accelerating AI/ML development and experimentation. You will directly influence how ML practitioners develop and scale models across a wide range of products and services within Apple. As a Senior Engineering Manager in the AI and Data Governance group, you will lead the design and delivery of core systems and services that enable governance of Apple's data management and machine learning solutions, spanning the full ML lifecycle - from experimentation to large-scale training and deployment. This role requires strong leadership in infrastructure and distributed systems, paired with strategic thinking and effective execution in complex, cross-functional environments. You will work closely with Legal, Compliance, ML engineers, platform and infrastructure teams, and product partners to align on requirements, set technical direction, and deliver multi-quarter initiatives with broad organizational impact. We are looking for an experienced leader who is passionate about Governance, Big Data, and AI, with an experience of building world-class platforms at
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TITLE: Sr GenAI Infra Specialist SA, AWS WWSO Startup
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $169K-$229K
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425357/sr-genai-infra-specialist-sa-aws-wwso-startup
EXCERPT: Sr GenAI Infra Specialist SA, AWS WWSO Startup New York, New York, USA Do you want to help define the future of technology on AWS Generative AI as part of the Specialist Solutions Architect team in the Go-To-Market (GTM) Startup team? Are you passionate about AI infrastructure and helping customers understand the complexities of training and serving large-scale models? You will be part of the core Specialist Organization focused on Startup Customers GenAI and Go-to-Market (GTM) team, focused on AI infrastructure for model training and inference optimization. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of AWS compute, networking, and ML platform services with lighthouse Frontier AI model builders across Startups companies in different industry verticals. This role sits at the intersection of AI infrastructure architecture and model optimization - you will help customers understand hardware requirements and complexity (GPU, Trainium, networking), while also providing deep expertise in optimization of models and techniques for both inference serving and distributed training at scale. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. Key job responsibilities - Work directly with the most important and exciting Startup customers in the GenAI model training and inference space, helping them adopt and scale large-scale workloads (e.g.,
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TITLE: AI/ML Infrastructure Engineer
EMPLOYER: Zensors
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/zensors/d00b1704-5330-4af3-99e6-03ea02df8026
EXCERPT: AI/ML Infrastructure Engineer San Francisco | OnSite The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform. We provide the tools to automate the lifecycle of our AI workflow, including model development, evaluation, optimization, deployment, and monitoring across thousands of video streams. As a Machine Learning Engineer in ML Runtime & Optimization, you will develop technologies to accelerate the training and inference of computer vision models that power smart spaces and cities. Your responsibilities will include: - Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. - Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. - Model Acceleration: Applying advanced model optimization techniques-such as quantization (Int8/FP16), pruning, and layer fusion-to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency. - Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. - Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product. - Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training. REQUIREMENTS - BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline. - Strong programming skills in C/C++
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TITLE: Safety Coordinator / Lab Lead
EMPLOYER: Scale AI
LOCATION: San Francisco, CA (unspecified)
SALARY: $134K-$168K
POSTED: 2026-06-05
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4702657005
EXCERPT: Safety Coordinator / Lab Lead San Francisco, CA At Scale, we believe that the next frontier of artificial intelligence is embodied. The Physical AI team is focused on building general AI that can reason and act in the physical world. By leveraging Scale's massive, industry-leading data infrastructure, we are partnering with frontier labs to build Foundation Models for Physical AI that will redefine the future of automation. To support our rapid hardware-software iteration cycles and ensure a world-class R&D environment, we are looking for a Safety Coordinator / Lab Lead to anchor our physical testing operations. Role Overview As the Safety Coordinator / Lab Lead , you will play a mission-critical role in scaling our physical testing infrastructure safely and efficiently. This is a high-impact position where your highest-priority responsibility will be owning the end-to-end execution of safety audits and incident documentation . Operating at the intersection of cutting-edge AI foundation models and complex robotics hardware, you will ensure our researchers, engineers, and autonomous systems interact in a secure, compliant, and highly organized environment. Core Responsibilities Priority Focus: Safety Audits & Incident Documentation - Rigorous Safety Audits: Design, schedule, and execute routine safety audits across all physical testing environments, robot cells, and hardware workspaces to ensure continuous compliance with internal benchmarks and industrial safety standards. - Incident & Near-Miss Documentation: Own the end-to-end incident management pipeline. Act as the primary point of contact for documenting, archiving, and analyzing any lab incidents, mechanical anomalies, or near-misses. - Root-Cause Analysis (RCA): Lead
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TITLE: AI Trainer - Advanced SQL Developers (US & Canada)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4579530101
EXCERPT: AI Trainer - Advanced SQL Developers (US & Canada) Remote AI Trainer - Advanced SQL Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for SQL Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring SQL developer skills and verifiable professional experience as a SQL developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI
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TITLE: Staff Cloud SRE – AI/ML Platform & GPU Compute
EMPLOYER: Wayve
LOCATION: London (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-06
APPLY_URL: https://wayve.firststage.co/jobs?gh_jid=8537458002
EXCERPT: Staff Cloud SRE – AI/ML Platform & GPU Compute London About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up. As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit
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TITLE: Senior AI Engineer, Unstructured AI
EMPLOYER: Collibra
LOCATION: New York, New York, USA (unspecified)
SALARY: $204K-$255K
POSTED: 2026-02-27
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.collibra.com/us/en/company/careers/job-listing/?gh_jid=7561707
EXCERPT: Senior AI Engineer, Unstructured AI New York, New York, USA Joining Collibra's Unstructured AI Team - Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale. - Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments. - Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types). - Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards. This is a hybrid role based in our New York office. Our hybrid model means you'll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. Senior AI Engineer at Collibra are responsible for - Shipping complex systems under ambiguity - balancing speed and precision in real environments. - Writing and reviewing production-grade code across backend (Python, FastAPI). - Building/deploying document-processing systems that handle large-scale, unstructured data environments. - Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs)
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TITLE: Staff Applied Scientist, AI Quality & Meta Evaluation
EMPLOYER: Apple
LOCATION: Seattle, United States of America (unspecified)
SALARY: $201K-$302K
POSTED: 2026-05-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200661039/staff-applied-scientist-ai-quality-meta-evaluation?team=MLAI
EXCERPT: Staff Applied Scientist, AI Quality & Meta Evaluation Seattle, United States of America Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them. As a Principal Applied Scientist on the Human Centered AI team, you will be the technical engine behind our Data Quality Validation framework. This is a high-impact individual contributor role for a scientist who wants to architect and build - not just advise. You will own the data science methodology underpinning our data quality validation models, design the statistical frameworks that govern judge reliability, and work hands-on to close the loop between automated evaluation and human ground truth. You will be the person who answers the hardest question in our stack: "Can we trust the evaluators that are evaluating our models?" Design, develop, and iterate on the reasoning agent that serves as our adjudicator, auditing Production LLM Judge outputs for hallucination, drift, and systematic bias Develop the statistical and ML approaches that detect when Production LLM Judges diverge from ground truth, including confidence calibration, entropy-based uncertainty quantification, and out-of-distribution detection Define the algorithms that determine what gets routed for deeper review, moving the team from random sampling to principled, risk-stratified smart sampling Design the hierarchical
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TITLE: Senior Product Manager, RL Environments — Handshake AI
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/00afb9fa-82b3-462d-8054-20cc266a20dc
EXCERPT: Senior Product Manager, RL Environments — Handshake AI San Francisco, CA, San Francisco, California, United States About Handshake Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others - Build a massive, fast-growing business with billions in revenue About the Role Handshake AI builds the training data that frontier labs use to push their models forward. A growing share of that work is in reinforcement learning: realistic, end-to-end environments where models can be evaluated and trained against real-world workflows. We're hiring a Senior Product Manager to own the product surface that turns environment creation from a bespoke, weeks-long lift into a repeatable factory. Today, building a single RL environment is a substantial cross-team effort involving dozens of manual steps across operators and engineers, and depends on tribal knowledge across data sourcing,
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TITLE: Agent Engineer (Member of Technical Staff)
EMPLOYER: Cogent Communications Holdings INC
LOCATION: San Francisco, CA (unspecified)
SALARY: $100K-$300K
POSTED: 2025-08-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/cogent-security/e038692d-ca5c-4df4-8ea2-b472c2a6d99b
EXCERPT: Agent Engineer (Member of Technical Staff) San Francisco, CA About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase World class cybersecurity experts from Wiz, Abnormal AI, Zscaler Preeminent research labs like Deepmind and SAIL About the Role As an Agent Engineer at Cogent Security, you will design, build, and deploy mission-critical AI agents that operate in complex customer environments and drive measurable security outcomes. This is a highly cross-functional, forward-deployed role - you'll work directly with customers to understand their needs, adapt our platform to their environment, and continuously iterate on solutions that scale to millions of real-world
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TITLE: Senior Machine Learning Engineer
EMPLOYER: ZoomInfo
LOCATION: Remote (remote)
SALARY: $164K-$258K
POSTED: 2026-05-12
APPLY_URL: https://www.zoominfo.com/careers?gh_jid=8537816002
EXCERPT: Senior Machine Learning Engineer Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. About the Applied AI Team The Applied AI team builds the intelligence layer that sits between ZoomInfo's high-quality data and the application and agentic layer through which customers engage. Using a product-led growth model, this team leverages customer engagement as input to build better recommendations, scoring, classification, and generative models. What you'll do: Recommendation system - Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture - Performant recommendation designs which can scale to millions of recommendations per day for different product features - Utilize graph based structures, search and scoring to enhance recommendation quality Advanced NLP & Embedding Systems - Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search - Architect vector search solutions that enable language-agnostic clustering and classification across global datasets - Build and optimize high-performance retrieval systems using vector databases MLOps Lifecycle Management: - Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems. - Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability
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TITLE: [REMOTE] Principal Software Engineer – Healthcare Analytics & AI
EMPLOYER: Oracle
LOCATION: United States, US (remote)
SALARY: $100K-$235K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/336136/
EXCERPT: [REMOTE] Principal Software Engineer – Healthcare Analytics & AI United States, US At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key Responsibilities • Design and develop scalable data pipelines and AI-driven workflows. • Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation). • Own end-to-end features from data ingestion through transformation and on to insights. • Optimize systems for performance, scale, and low latency. • Mentor junior engineers and contribute to design decisions. Qualifications: • BS/MS in in Computer Science or equivalent. • 8+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience
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TITLE: AI Data Associate with German, Artificial General Intelligence – Data Services
EMPLOYER: Amazon
LOCATION: Amman, JOR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services
EXCERPT: AI Data Associate with German, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose
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TITLE: ASIC Architect
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7753254003
EXCERPT: ASIC Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across
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TITLE: Senior or Staff AI Infrastructure Engineer
EMPLOYER: TRM Labs
LOCATION: North America | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/trm-labs/92fb2ce1-437c-4bac-8263-dc0a4d858cd2
EXCERPT: Senior or Staff AI Infrastructure Engineer North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. As a Senior or Staff AI Infrastructure Engineer, you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: - Build reusable CI/CD workflows for model training, evaluation, and deployment - integrating Langfuse, GitHub Actions, and experiment tracking, etc. - Automate model versioning, approval workflows, and compliance checks across environments. - Build out a modular and scalable AI infrastructure stack - including vector databases, feature stores, model registries, and observability tooling. - Partner with engineering and
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TITLE: Manager, AI Deployment Engineering - Codex
EMPLOYER: OpenAI
LOCATION: London, UK, London, Greater London, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/da8dd5fd-1dec-4610-9508-5a156af9ca92
EXCERPT: Manager, AI Deployment Engineering - Codex London, UK, London, Greater London, United Kingdom About the team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications. The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows - from early experimentation and pilot design through enterprise-scale production rollout - ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments. About the role We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development. As a manager, you will define how deployment engagements operate at scale - setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights. Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns
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TITLE: AI Trainer - Computer Scientist (UK)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761602101
EXCERPT: AI Trainer - Computer Scientist (UK) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Senior Software Engineer II, AI Workload Orchestration
EMPLOYER: CoreWeave
LOCATION: Sunnyvale, CA / Bellevue, WA (unspecified)
SALARY: $165K-$242K
POSTED: 2026-01-23
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://coreweave.com/careers/job?4647595006&board=coreweave&gh_jid=4647595006
EXCERPT: Senior Software Engineer II, AI Workload Orchestration Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: As a Senior Software Engineer II (IC4) on the AI Workload Orchestration team, you will help build and operate CoreWeave's Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale. This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration. You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow. About the role: - Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling - Own one or more platform components end-to-end, including design, implementation, testing, and on-call support - Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering - Contribute to architectural discussions across services and influence design decisions within the platform - Work closely with adjacent
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TITLE: Staff AI Engineer - AI Product
EMPLOYER: ClickUp
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-30
APPLY_URL: https://jobs.ashbyhq.com/clickup/f5d084a8-254c-49a8-ab9c-d34a3acf9a00
EXCERPT: Staff AI Engineer - AI Product United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: - Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. - Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. - Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. - Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. - Ensure the reliability, scalability, and performance of AI-powered features in production environments. - Stay at the forefront of
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TITLE: Staff Machine Learning Engineer, Tools and Framework AI
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-03-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200648476/staff-machine-learning-engineer-tools-and-framework-ai?team=SFTWR
EXCERPT: Staff Machine Learning Engineer, Tools and Framework AI Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. On the Tools and Frameworks AI team, you'll work on projects that push the boundaries of what's possible with AI. We're solving problems at the frontier of the field, building tools and capabilities, and figuring out what the next generation of software development looks like. We take these innovations from concept to production, ensuring our work delivers real impact at scale. You'll see your contributions move from early explorations to production systems that users depend on daily. We're looking for a Staff ML Engineer who can drive AI-powered software development from initial design through production deployment. You'll architect and build machine learning systems that push the boundaries of what's possible in software development, writing production-quality code that scales to meet real-world demands. This role requires both
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TITLE: Founding AI Engineer
EMPLOYER: Pingo AI
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/pingo/ff795004-d14d-4ac9-85d0-c3397f69f4d5
EXCERPT: Founding AI Engineer San Francisco | OnSite We're hiring a Founding AI Engineer to build the intelligence layer for the leading AI companion for language learning. You'll own the core AI systems powering personalized conversations for millions of users. Language learning shouldn't feel like an app - it should feel like talking to someone who knows you: remembers what you struggled with last week, adapts in real time, and responds instantly. Building that means solving hard systems problems at consumer scale: long-term memory, real-time speech, sub-second latency, adaptive dialogue, and personalized content. About Pingo Pingo helps 3,000,000+ users build fluency through real conversations. Since launching in January 2025, we've grown to $7 million ARR with ~50% MoM growth. Backed by Y Combinator and top investors, we're building a small, talent-dense team obsessed with product quality and engineering rigor. What You'll Do In one sentence: Build the systems that make Pingo the default way people learn languages. - Define and own our AI architecture and roadmap, and build the AI team as we scale. - Architect memory & personalization - design scalable long-term memory and retrieval, build a content engine that generates structured, high-novelty conversations. - Improve speech & conversation intelligence - optimize ASR feedback, turn-taking, and dialogue flow to make interactions feel natural. - Own AI evals & experimentation system - build prompt simulations, golden datasets, and regression systems to measure conversation quality. - Optimize real-time performance - drive sub-200ms latency and systems that scale efficiently across millions of conversations.
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TITLE: Head of Consolidations & Intercompany
EMPLOYER: Anthropic
LOCATION: San Francisco, CA (unspecified)
SALARY: $300K-$385K
POSTED: 2026-05-27
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/5229804008
EXCERPT: Head of Consolidations & Intercompany San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. As we scale, our corporate structure and the flows between our entities are growing more complex. We are looking for a Head of Consolidations & Intercompany to own and expand the consolidation program and the group-level intercompany framework - partnering closely with the Head of Corporate Accounting on the strategic direction of this pillar. This is a builder's role. You will come in, get your hands dirty, design the process, document the flows, and then codify and scale it - building out a team to run it consistently. You will be a player-coach first: doing the work, then writing the operating procedures and hiring against them. Key responsibilities - Own the consolidation program. Design and run the multi-entity, multi-currency consolidation process in our system of record (Workday), driving a repeatable, scalable close. - Expand the intercompany framework. Architect a group-level intercompany framework - elimination logic, transaction-flow documentation, and sources of truth - designed to absorb new entities and acquisitions. - Scale Allocations framework - design and implement a scalable
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TITLE: Proposals Manager
EMPLOYER: Scale AI
LOCATION: Washington, DC (unspecified)
SALARY: $120K-$175K
POSTED: 2026-05-19
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4697299005
EXCERPT: Proposals Manager Washington, DC Scale is a rapidly growing, venture-backed startup that is changing the way organizations around the world build AI applications. We are looking for a highly driven and operationally focused Proposals Manager to support our growing Public Sector business, with a particular focus on delivering AI/ML solutions to the U.S. Federal Government. Proposals Manager (Public Sector) Scale is at the forefront of enabling the next wave of AI/ML technologies for the U.S. government, and we are expanding our Public Sector Proposals team to help drive this mission. This position requires a self-motivated, independent operator who is deeply analytical, hands-on, and able to thrive in a rapidly changing, high-stakes environment. You must be comfortable taking ownership of your work and driving initiatives forward with exceptional written communication skills. Responsibilities: - Manage the end-to-end proposal development process for U.S. Federal opportunities, including RFPs, RFIs, BAAs, and unsolicited proposals. - Drive the creation of compelling, compliant, and customer-focused proposal narratives that clearly articulate Scale's technical solutions, differentiators, and value. - Collaborate with GTM, engineering, product, security, and legal teams to gather technical inputs and translate them into accessible proposal language. - Ensure compliance with Federal Acquisition Regulations (FAR/DFARS), solicitation requirements, and agency-specific guidelines. - Develop and manage proposal schedules, assignments, and workflows to ensure timely submission of high-quality responses. - Maintain and expand a reusable library of proposal content, past performance references, resumes, and templates to streamline future responses. - Coordinate and facilitate color team reviews, compliance checks, and executive
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TITLE: Finance Manager
EMPLOYER: Goodfire
LOCATION: San Francisco, CA (unspecified)
SALARY: $175K-$300K
POSTED: 2026-01-17
APPLY_URL: https://job-boards.greenhouse.io/goodfire/jobs/5075038008
EXCERPT: Finance Manager San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We are seeking a Finance Manager to own day-to-day financial operations at Goodfire as we experience a period of rapid growth. You will be responsible for supporting monthly and quarterly reporting, owning our financial models, and building the infrastructure to scale our finance function. The role spans the full spectrum from heads-down operational work to assisting with fundraising and
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TITLE: Senior ML Infrastructure Engineer - Training Algorithms, SIML
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-02-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200633249/senior-ml-infrastructure-engineer-training-algorithms-siml?team=MLAI
EXCERPT: Senior ML Infrastructure Engineer - Training Algorithms, SIML Cupertino, United States of America Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working with closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training & deployment infrastructure. In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure. Responsibilities Include: - Training optimizations & profiling targeting vision/language pre-training - Researching training recipes for effective scheduling of multimodal training workloads - Experimentation & tooling for post-training ablations including reward modeling, distillation and prompt optimization - Coordinating with post-training algorithm owners for analyzing quality / performance tradeoffs of downstream capabilities - Ablations involving optimization aware fine-tuning Minimum Qualifications: Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related
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TITLE: Senior Technical Product Manager - AI Platform, Remote
EMPLOYER: Aledade
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-03-26
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 4
APPLY_URL: https://jobs.lever.co/aledade/21787819-6373-4736-8766-d49cc84fd3af
EXCERPT: Senior Technical Product Manager - AI Platform, Remote Remote, United States Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data scientists, and clinical leadership to deliver production-grade systems that support reliable inference pipelines across millions of patient records. Contribute to the improvement of quality and cost of care for over 2 million patients served by Aledade providers. Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data
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TITLE: Senior Applied AI Lead, Talent
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $265K-$450K
POSTED: 2026-05-18
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315961316?microsite=netflix.com
EXCERPT: Senior Applied AI Lead, Talent USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Our Talent AI Team: We are at a very exciting stage of evolution at Netflix. As we experience growth in our employee population, lines of business, geographical footprint, and workforce heterogeneity, it is imperative that the Talent function evolves accordingly to shape and support this progress. One of the most critical parts of this evolution is the foundation upon which we can scale personalized and inclusive experiences for the workforce. Our Talent AI team is focused on helping to drive change at scale. The team is fundamentally helping to find ways to drive AI powered solutions in how we attract, develop, and retain the extraordinary people who power our business, while also helping to drive greater AI adoption and fluency across Talent. This team is critical in identifying, prototyping, and shipping AI-powered capabilities across the full Talent lifecycle. The team works closely with all functional areas across Talent - as well as Netflix's central AI teams. The Role: We are looking for a Senior Applied AI Lead who can bridge the gap between Talent's biggest opportunities and what is possible with today's AI
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TITLE: Principal Product Manager, AI agents - Search
EMPLOYER: Elastic NV
LOCATION: United States (unspecified)
SALARY: $160K-$253K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 6
APPLY_URL: https://jobs.elastic.co/jobs?gh_jid=7940246&gh_jid=7940246
EXCERPT: Principal Product Manager, AI agents - Search United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing - Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs - Build, socialize and align a roadmap for
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TITLE: AI Trainer - Advanced JavaScript Developers
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4579514101
EXCERPT: AI Trainer - Advanced JavaScript Developers Remote AI Trainer - Advanced JavaScript Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for JavaScript Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring JavaScript developer skills and verifiable professional experience as a JavaScript developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks such
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TITLE: Senior Staff+ Software Engineer, Node Infra
EMPLOYER: Anthropic
LOCATION: London, UK (unspecified)
SALARY: GBP 325K-485K
POSTED: 2026-05-07
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/5211498008
EXCERPT: Senior Staff+ Software Engineer, Node Infra London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users - demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities - Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair - Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families - Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
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TITLE: Senior Math Libraries Engineer - Sparsity in AI
EMPLOYER: NVIDIA Corporation
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Math-Libraries-Engineer---Sparsity-in-AI_JR2001319-1
EXCERPT: Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today
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TITLE: Regional Director Sales- West
EMPLOYER: Weka
LOCATION: San Francisco Bay Area (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://www.weka.io/company/careers/?gh_jid=5153211007
EXCERPT: Regional Director Sales- West San Francisco Bay Area WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation. WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us! About the Role As a Regional Director of Sales West, you'll lead a team of account executives responsible for selling WEKA to Enterprise level companies who need speed, simplicity, scale for their AI environments. Reporting to the VP of Sales, Americas, you and your team will collaborate with Sales Engineering, Marketing, and Demand Gen to drive top of funnel pipeline and build our business opportunities with enterprise customers. The right person for this role will understand how to navigate complex sales cycles and sell technology into enterprise environments. Building up a sustainable ecosystem of WEKA customers
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TITLE: Generative AI Inference Engineer
EMPLOYER: Stability AI
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-17
APPLY_URL: http://stability.ai/careers?gh_jid=4712826101
EXCERPT: Generative AI Inference Engineer United States Generative AI Inference Engineer About the role: We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI. Responsibilities: - Lead efforts to drive the design, development of customer-facing multi modal ML inference systems. - Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment. - Partner with leading cloud providers to deliver hosted Stability AI inference solutions. - Be a strategic thought partner for leaders across the organization on driving business impact through machine learning - Be part of the team to bring new Stability models and pipelines into existence - Prototype and productionize inference platform improvements and new features Qualifications: - 7+ years working on productionizing machine learning systems, including inference pipeline development - Expert level knowledge on writing and running python services at scale - 5+ years working on python
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TITLE: AI Research Scientist, CoreML - Monetization
EMPLOYER: Meta
LOCATION: Sunnyvale, CA; Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA (unspecified)
SALARY: $184K-$257K
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.metacareers.com/jobs/1865758441490305/
EXCERPT: AI Research Scientist, CoreML - Monetization Sunnyvale, CA; Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA Meta's Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots-with the potential to redefine Meta's monetization strategies. By consistently pushing the boundaries of what's possible, we deliver breakthrough innovations that not only advance Meta's business objectives but also result in publications at top-tier conferences. Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences-unlocking new possibilities for personalization and relevance. As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta's monetization strategies and help define the next generation of recommender systems. Responsibilities: - Extracting meaningful signals from both 1st-party and 3rd-party data sources - Advancing representation learning - Scaling solutions to efficiently process hundreds of billions of data points - Driving continuous algorithmic innovation
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TITLE: Regional Vice President Sales- West
EMPLOYER: Weka
LOCATION: San Francisco Bay Area (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-14
APPLY_URL: https://www.weka.io/company/careers/?gh_jid=4941401007
EXCERPT: Regional Vice President Sales- West San Francisco Bay Area WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation. WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us! About the Role As a RVP Sales West, you'll lead a team of account executives responsible for selling WEKA to Enterprise level companies who need speed, simplicity, scale for their AI environments. Reporting to the VP of Sales, Americas, you and your team will collaborate with Sales Engineering, Marketing, and Demand Gen to drive top of funnel pipeline and build our business opportunities with enterprise customers. The right person for this role will understand how to navigate complex sales cycles and sell technology into enterprise environments. Building up a sustainable ecosystem of WEKA customers across
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TITLE: Director of Engineering, Security Products
EMPLOYER: CoreWeave
LOCATION: New York, NY (unspecified)
SALARY: $227K-$303K
POSTED: 2026-04-15
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://coreweave.com/careers/job?4671387006&board=coreweave&gh_jid=4671387006
EXCERPT: Director of Engineering, Security Products New York, NY CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: The Security Products team at CoreWeave is responsible for building the platform capabilities that let enterprise customers safely extend their existing identity, security, and encryption stacks to CoreWeave Cloud. This team owns products like CoreWeave IAM, future encryption lifecycle and key management capabilities, and supporting infrastructure that enables fine-grained access control, auditability, and secure onboarding of sensitive AI workloads. We partner closely with Product, Information Security, and core platform teams to make CoreWeave the most secure and compliant place to run large-scale AI. About the role: CoreWeave is seeking a Director of Engineering, Security Products to lead the engineering teams building our identity, authorization, and encryption platforms. In this highly technical and strategic role, you will define and execute the roadmap for security products that underpin customer trust and enable regulated AI workloads at scale. You will lead an engineering team working with Product and Security to design and operate services that are reliable, auditable, and easy for customers to adopt. You will
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TITLE: Senior Machine Learning Engineer, Voice AI
EMPLOYER: Together AI
LOCATION: San Francisco (unspecified)
SALARY: $200K-$260K
POSTED: 2026-03-30
APPLY_URL: https://job-boards.greenhouse.io/togetherai/jobs/5088817007
EXCERPT: Senior Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Optimize inference performance for voice models (STT,
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TITLE: AI Data Associate with Dutch , Artificial General Intelligence Data Services
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services
EXCERPT: AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate
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TITLE: Product Engineer
EMPLOYER: Goodfire
LOCATION: San Francisco, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://job-boards.greenhouse.io/goodfire/jobs/5253335008
EXCERPT: Product Engineer San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for Product Engineers to help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. You'll play a central role in turning Goodfire's research and platform capabilities into products that people can actually use: clear interfaces, reliable workflows, developer tools, and product surfaces that make model internals understandable and actionable. This
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TITLE: Principal Engineering Manager
EMPLOYER: GitHub
LOCATION: US Remote (remote)
SALARY: $425K-$425K
POSTED: 2026-06-11
APPLY_URL: https://careers-githubinc.icims.com/jobs/5138/login
EXCERPT: Principal Engineering Manager US Remote About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is looking for a Principal Engineering Manager to lead the development of the GitHub Copilot AI inference platform. This role involves overseeing the allocation and deployment of GitHub's AI resources, managing high-throughput service infrastructure for inference workloads, and improving the experiment-to-production pipeline. This includes operating orchestration frameworks that support generative AI workloads at scale. The ideal candidate will possess a strategic vision, technical leadership in distributed systems and generative AI serving architectures, as well as the ability to mentor senior engineering leaders, build empowered high-trust teams, and foster a culture of technical excellence and experimentation. The AI infrastructure at GitHub is crucial for the future of software development. As Principal Engineering Manager, you will lead the team responsible for this foundation, ensuring efficient, secure, and business-aligned resource deployment. You will work with a team of architects to guide the platform's evolution through deep technical leadership and organizational stewardship, collaborating with product, infrastructure, and research teams across GitHub and Microsoft to scale, optimize, and safeguard platform integrity. This is a unique opportunity to shape the systems powering Copilot and other AI-driven experiences globally. We
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TITLE: Strategic Projects Lead, Managed Services
EMPLOYER: Prolific
LOCATION: North America (unspecified)
SALARY: $150K-$200K
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4687617101
EXCERPT: Strategic Projects Lead, Managed Services North America Strategic Projects Lead, Managed Services Prolific Prolific isn't just enabling AI innovation - we're redefining it. While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As we scale our Managed Services division, we're seeking a Strategic Projects Lead to scope, design, and deliver complex human data projects. You'll work directly with leading AI companies, researchers, and product teams to set up impactful, scalable pilots-from first client conversation to task material design, rater training, and operational execution. This is a high-ownership, cross-functional role ideal for a creative strategist and operational builder who thrives in ambiguity, loves solving complex problems, and wants to drive the future of how human data powers AI. What You'll Be Doing Own project scoping and feasibility: Engage with customers to understand their objectives, co-create study designs, assess viability, and propose clear success criteria. Lead project setup: Draft protocols, instructions, workflows, and platform configurations tailored to the client's use case. Design and operationalize rater pipelines: Develop scalable onboarding, training, QA, and performance tracking processes. Run pilots and iterate: Launch small-scale tests to evaluate feasibility, cost, quality, and throughput, then optimize for scale. Ensure delivery excellence: Project manage execution to timelines and budgets, providing customers with proactive
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TITLE: Founders Associate
EMPLOYER: Adaptyv
LOCATION: Lausanne | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/adaptyv/0fd9c492-3cb2-4cce-b495-3cab095a4fa6
EXCERPT: Founders Associate Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Founders Associate to own and build the operational backbone of the company as we scale. This is a high-ownership generalist role: you'll take entire
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TITLE: Inference Optimization ML Engineer
EMPLOYER: Rhoda AI
LOCATION: Mountain View, Mountain View,, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://jobs.ashbyhq.com/rhoda-ai/5fbe9c15-342b-4d46-b1bf-34d99d2f243c
EXCERPT: Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots
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TITLE: Research Engineer, Infrastructure
EMPLOYER: Cognition IP
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/cognition/b6f96827-ce14-44f4-98fa-b1b8640858b6
EXCERPT: Research Engineer, Infrastructure San Francisco | OnSite WHO WE ARE We are an applied AI lab building end-to-end software agents. We're the team behind Devin, the first AI software engineer, and Windsurf, an AI-native IDE. These products represent our vision for AI that doesn't just assist engineers, but works alongside them as a genuine teammate. Our team is small and talent-dense: world-class competitive programmers, former founders, and researchers from the frontier of AI, including Scale AI, Palantir, Cursor, Google DeepMind, and others. ROLE MISSION Research moves at the speed of the infrastructure underneath it. Every training run, evaluation loop, and experimental iteration depends on systems that are fast, reliable, and built to scale. This role exists to make sure nothing in the stack becomes the bottleneck that slows down the frontier. You will own the core systems that researchers depend on daily: distributed training infrastructure, experiment orchestration, data pipelines, and the tooling that turns raw compute into usable research velocity. This is not a support role. You will work directly alongside researchers, understand the science deeply enough to anticipate what they need next, and build systems that hold up under the pressure of training jobs running across thousands of GPUs. We don't distinguish between research and engineering; the best infrastructure engineers here are also the ones who understand why the research works. WHAT YOU'LL ACCOMPLISH - Distributed Training Infrastructure: Build and own the systems that run large-scale training jobs reliably across GPU clusters. This includes job launchers, checkpointing and recovery,
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TITLE: AIML - Machine Learning Researcher - Multimodal Agent
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $172K-$302K
POSTED: 2026-01-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200633208/aiml-machine-learning-researcher-multimodal-agent?team=MLAI
EXCERPT: AIML - Machine Learning Researcher - Multimodal Agent Santa Clara, United States of America The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple's devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities: - Developing state-of-the-art multimodal foundation models for Apple Intelligence. - Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search. - Developing, fine-tuning, and evaluating domain specific foundation models for various tasks
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TITLE: General Interest (Senior Leadership)
EMPLOYER: Goodfire
LOCATION: San Francisco, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-06-04
APPLY_URL: https://job-boards.greenhouse.io/goodfire/jobs/4749403008
EXCERPT: General Interest (Senior Leadership) San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. Senior Leadership - Expression of Interest Goodfire is tackling one of the most urgent and technically complex challenges in AI: making advanced systems interpretable and aligned. We're looking to connect with senior leaders who've built and scaled high-performing teams, navigated critical growth phases, and delivered at the frontier of emerging technology. Whether your background is in engineering, research, operations, or
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TITLE: Technical Program Manager, Gen AI Operations Planning
EMPLOYER: Scale AI
LOCATION: San Francisco, CA; New York, NY (unspecified)
SALARY: $151K-$189K
POSTED: 2026-05-08
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4693449005
EXCERPT: Technical Program Manager, Gen AI Operations Planning San Francisco, CA; New York, NY Role summary Scale's Operations Planning Team sits at the intersection of Engagement Management (EM), GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. As a TPM on Planning you will own program-level planning and systems workstreams that translate demand into reliable production plans, validate staffing, and ensure opportunities move through ingest accurately. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management, with the goal of making account planning predictable, auditable and scalable. This is a role designed to build deep account knowledge: each Planning TPM will ultimately be assigned to support 1-2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting. What you'll own (key responsibilities) Demand Forecasting - Ensure project-level customer demand is captured accurately, consistently and at the right level of granularity. - Own day-to-day monitoring and execution of Production Plan and Opportunity Forecast; act quickly on demand changes. - Partner with Supply Ops to review the Production Plan weekly (PP, TCD, historical productive hours) and drive forecasting accuracy and adjustments. - Surface forecast risks and coordinate tactical interventions through the Ops Planning leads. Staffing & Resource Planning - Create/validate staffing requests and communicate staffing changes to Delivery teams, STOs and EMs. - Monitor account-level FTE budgets and employee spend; contribute
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TITLE: US Manufacturing Manager
EMPLOYER: Harmattan AI
LOCATION: Arlington, Virginia, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-23
APPLY_URL: https://jobs.ashbyhq.com/harmattan-ai/77b27425-dcba-48f5-9e7f-6ae742b1d64c
EXCERPT: US Manufacturing Manager Arlington, Virginia, United States About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As Manufacturing Manager USA, you will lead the establishment and scaling of Harmattan AI's manufacturing capabilities in the United States. This role is critical to enabling the company's rapid expansion and supporting the delivery of advanced defense technologies to U.S. customers. You will be responsible for building and managing Harmattan AI's U.S. manufacturing ecosystem, including the setup and optimization of production capabilities through industrial partners and internal operations as the company scales. You will ensure alignment with Harmattan AI's global industrial strategy, quality standards, and operational best practices. This role requires a hands-on leader capable of structuring and scaling reliable industrial capacity in the United States, while coordinating closely with engineering, supply chain, and operations teams across multiple geographies. You will work in close coordination with the Head of Manufacturing & Supply Chain and jointly develop and deploy the U.S. manufacturing strategy, ensuring strong alignment with Harmattan AI's global industrial roadmap while maintaining clear execution ownership
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TITLE: Member of Technical Staff (Software Engineer)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $170K-$175K
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728798003
EXCERPT: Member of Technical Staff (Software Engineer) Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras Systems Inc. has multiple openings for Member of Technical Staff (Software Engineer) Title : Member of Technical Staff (Software Engineer) Job Duties - Implement infrastructure to support high-performance, low-latency inference service. - Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads. - Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs. - Integrate inference services with containerized environments using Docker and Kubernetes for orchestration. - Ensure high availability and fault tolerance by implementing
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TITLE: AI Trainer - Clinicians (MX)
EMPLOYER: Prolific
LOCATION: remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4780059101
EXCERPT: AI Trainer - Clinicians (MX) remote AI Trainer - Clinicians About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Clinicians to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $130p/h per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Verified status as a clinician (e.g., current license/registration in good standing; board certification or equivalent where applicable) Recent clinical experience and comfort evaluating clinical reasoning and decision-making Willingness to complete a short skills/eligibility screener to join our Domain Expert pool Strong attention to detail and the ability to focus on complex tasks for up to one hour A reliable, fast internet connection and access to a computer Willingness to self-declare earnings (participants are self-employed) A PayPal account to receive payments from our clients What you'll be doing in the role Reviewing AI-generated responses to clinical
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TITLE: Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal)
EMPLOYER: Salesforce
LOCATION: Washington - Bellevue (unspecified)
SALARY: $117K-$314K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr304406/big-data-platform-distributed-systems-midseniorleadprincipal/
EXCERPT: Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal) Washington - Bellevue About the Teams: By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence. Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Pillar 2: Data Cloud. Big Data Compute platform team. Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate
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TITLE: Machine Learning Engineer
EMPLOYER: Point72 Asset Management
LOCATION: New York (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-15
APPLY_URL: https://boards.greenhouse.io/point72/jobs/8170176002?gh_jid=8170176002
EXCERPT: Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong
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TITLE: Software Development Engineer in Test (Cloud)
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7730279003
EXCERPT: Software Development Engineer in Test (Cloud) Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team The Cloud Quality team is responsible for the confidence behind every production release shipped to Cerebras Inference Cloud. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services. We are scaling quickly. The systems are growing in complexity, traffic is increasing rapidly, and release velocity remains high. We need engineers
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TITLE: Growth Manager
EMPLOYER: Higgsfield
LOCATION: Almaty (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-22
APPLY_URL: https://jobs.ashbyhq.com/higgsfieldai/82a5d241-3f4a-4835-bb6a-5ad71d79ebe7
EXCERPT: Growth Manager Almaty Why work at Higgsfield AI? Higgsfield AI is the fastest-growing GenAI platform in the world - #1 in Video AI in the U.S. and top globally by growth. We raised a $130M Series A - and we're only getting started. This is your chance to join early, when the team is small but mighty, and help build the next GenAI decacorn. What Growth Means at Higgsfield At Higgsfield, growth is about distribution and revenue , not branding or theory. A Growth Manager here is a high-agency operator who: - Finds channels that can drive real users and revenue - Tests ideas quickly using imperfect data - Automates repeatable processes - Negotiates partnerships that compound over time This is a hands-on role. You will execute, measure, iterate, and scale. What You Will Do Creator & Partner Growth - Identify creators and influencers who can drive high-quality users. - Design and negotiate creator partnerships (affiliate, rev share, performance-based deals). - Launch, manage, and optimize creator campaigns end-to-end. - Track performance and double down on what works. Analytics & Decision-Making - Build and maintain simple Excel / Google Sheets models to: - Estimate traffic, conversions, and revenue - Evaluate ROI of partnerships - Decide which creators to scale or cut - Turn messy data into clear actions. Automation & Scale - Automate creator discovery, outreach, tracking, and reporting. - Build lightweight systems using tools like Sheets, Zapier, Apify, Instantly, CRMs, APIs, or scripts. - Reduce manual work and increase throughput.
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TITLE: Lead RTL Design Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$275K
POSTED: 2025-11-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7527591003
EXCERPT: Lead RTL Design Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. The role also requires close collaboration and management of external ASIC vendor. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept
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