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: 7
- per_page: 100
- sort: relevance

Jobs (100 total):

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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
---
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
---
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
---
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
---
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.
---
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
---
TITLE: Machine Learning Scientist - Open Source Lead
EMPLOYER: Arena
LOCATION: Bay Area, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-18
APPLY_URL: https://jobs.ashbyhq.com/arena/62014e2d-6225-4310-96d3-c0a2c3df27f0
EXCERPT: Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You'll design, run, and share new methods and
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TITLE: AIML - Sr Machine Learning Engineer, Data and ML Innovation
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-02-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200645846/aiml-sr-machine-learning-engineer-data-and-ml-innovation?team=MLAI
EXCERPT: AIML - Sr Machine Learning Engineer, Data and ML Innovation Cupertino, United States of America Do you want to play a part in the revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas and experiment with various techniques to improve model training and evaluation efficiency and performance. As a Senior Machine Learning Engineer, you will join end-to-end development of large language models and agentic systems, from training pipelines to evaluation frameworks and production deployment. You will work at the intersection of modeling, infrastructure, and product, helping push model quality through systematic experimentation and iteration. You'll collaborate closely with research, infrastructure, and product teams to design robust training pipelines, build agent environments, and ship high-impact AI capabilities into real-world applications. This role blends deep modeling expertise with strong engineering fundamentals and offers the opportunity to shape both the technical direction and the ML platform powering Apple products. Model Training & Optimization Design and implement large-scale LLM pretraining and post-training pipelines, including supervised fine-tuning, preference optimization, and continual learning. Drive model hillclimbing through disciplined experimentation: dataset curation, hyperparameter tuning, and ablation studies. Work on
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TITLE: Principal Engineer, Inference Cloud
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7480543003
EXCERPT: Principal Engineer, Inference Cloud 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. Location: Sunnyvale We're hiring a Principal Engineer for our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and multi-region scale. This is one of the most senior IC roles on the team, for someone who can identify the highest-leverage platform problems, set direction across multiple teams, define long-term architecture, and write production code on critical paths. Many of the key decisions are ambiguous at the outset; you'll need to frame the problem, make tradeoffs, and drive execution
---
TITLE: Senior Front End Design Engineer (Microarchitecture)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $250K-$300K
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7763907003
EXCERPT: Senior Front End Design Engineer (Microarchitecture) 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 senior 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. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems.
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TITLE: Dutch Audio 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/4896019101
EXCERPT: Dutch Audio 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 proficiency
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TITLE: Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)
EMPLOYER: Cerebras Systems
LOCATION: Europe; Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada (remote)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762063003
EXCERPT: Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) Europe; Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada 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. The Role The DC Delivery E2E TPM is the single-threaded owner for delivering data center capacity from forecast → site strategy → design → construction → infrastructure readiness → go-live. You will operate as the SSOT (Single Source of Truth) for delivery milestones, risks, and capacity outcomes while orchestrating cross-functional execution across internal teams and external partners. This is a frontier-scale role where ambiguity is high, timelines are compressed, and stakes
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TITLE: Machine Learning Researcher, RL & Agentic Systems
EMPLOYER: Protege
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://jobs.ashbyhq.com/protege/fedd9b1f-1e8b-4ecd-84df-b9db6295af12
EXCERPT: Machine Learning Researcher, RL & Agentic Systems Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About DataLab DataLab exists because truly useful data is rare - and the frontier of AI development only moves forward when high-quality data makes it possible. We believe data is one of the most underdeveloped layers of the AI stack. Our work focuses on building and evaluating high-value datasets grounded in real-world workflows and economically meaningful tasks. We work across multiple domains to create safe, high-fidelity datasets that preserve the structure and context needed to train advanced AI systems. Our research spans data quality, evaluation design, privacy-preserving transformation, workflow reconstruction, and task-grounded AI training data. At DataLab, applied research is tightly connected to real-world deployment. Researchers work directly with large-scale datasets, production
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TITLE: Data Science Specialist - AI Trainer Project- Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $6-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4589022101
EXCERPT: Data Science Specialist - AI Trainer Project- Freelance AI Trainer Project United States of America Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You'll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your data science expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of
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TITLE: Director, Strategic AI Partnerships
EMPLOYER: Bandwidth Inc
LOCATION: Raleigh, NC (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/bandwidth/jobs/7776429
EXCERPT: Director, Strategic AI Partnerships Raleigh, NC Who We Are: Bandwidth , a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: Bandwidth is seeking a Director of AI Strategic Partnerships & Data Licensing to lead our entry into the Generative AI and Large Language Model (LLM) ecosystem. Reporting directly to the Chief Strategy Officer (CSO), this is a high-impact, "frontier" role responsible for establishing Bandwidth as the essential voice layer for the world's most sophisticated AI companies. Unlike a traditional sales role, your success will be measured by the breadth and depth of formalized partnerships you secure with major AI players. You will be the bridge between Bandwidth's global network and the next generation of AI-driven voice applications, while simultaneously architecting our first-ever voice data licensing program. What You'll Do: - Market Evangelism: Identify and penetrate "Big AI" accounts (OpenAI, Anthropic, Google, Meta, etc.) and emerging innovators in the Real-time Voice/LLM space to position Bandwidth as the premier platform for high-scale,
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TITLE: VP, AI-Native Ops & Automation, GTM
EMPLOYER: Algolia
LOCATION: Remote - United States (remote)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://job-boards.greenhouse.io/algolia/jobs/5995664004
EXCERPT: VP, AI-Native Ops & Automation, GTM Remote - United States At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds. Algolia powers more than 1.5 trillion searches annually and helps organizations around the world deliver fast, relevant, AI-powered discovery experiences at enterprise scale. Our FY26 strategy sharpens our focus on enterprise growth, platformization, operational excellence, and AI-native execution across every part of the business. As Algolia evolves into a more AI-native company, we are creating a new individual contributor executive role responsible for transforming how our go-to-market organization operates. This leader will architect and scale the systems, workflows, decision models, and automation capabilities that power Sales, Marketing, Customer Success, Revenue Operations, and Field Operations globally. This role will operate as a peer to executive leaders across GTM and R&D while reporting directly to the CEO. This is not a traditional RevOps role. The VP, AI-Native Ops & Automation, GTM will
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TITLE: Scaled Customer Success Manager, UKI
EMPLOYER: Notion
LOCATION: Dublin, Ireland, Dublin, Ireland (unspecified)
SALARY: EUR 89K-100K
POSTED: 2026-05-14
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/notion/9fdc08a2-49b8-4da0-8e20-e657f505e9a8
EXCERPT: Scaled Customer Success Manager, UKI Dublin, Ireland, Dublin, Ireland Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role - Manage a large portfolio of customers in EMEA. - Onboard and expand our customer base through tailored Notion consultations, trainings, and assistant programs. - Design and run at-scale outreach campaigns to key points of contact in order to assist with Notion adoption. - Work cross functionally with sales partners to ensure strong adoption of Notion. - Serve as our in-house product ambassador to up-level our customers' workflows and help them get the most return of investment from Notion. - Identify and target strategic customers to engage with in order to drive
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TITLE: Senior Director - Litigation & Employment Counsel
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
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/2e82fc0e-3ea5-485d-9b3a-7926b831206d
EXCERPT: Senior Director - Litigation & Employment Counsel 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 Team Handshake's Legal team is a strategic and collaborative partner across the company, helping to build and deploy trusted products and services that advance our mission. We're a lean but growing team that thrives on tackling complex issues at the intersection of frontier technology and the workforce-supporting every part of the business from product development and AI governance to commercial partnerships, data privacy, and employment. As the first dedicated counsel for Litigation and Employment, you'll join a tight-knit group that values practical judgment, intellectual curiosity, bias for action, and a deep commitment
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TITLE: Staff AI Engineer
EMPLOYER: Amplitude, Inc.
LOCATION: San Francisco, CA (unspecified)
SALARY: $254K-$381K
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/amplitude/jobs/8562414002
EXCERPT: Staff AI Engineer San Francisco, CA Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About the Role We're looking for a Staff AI Engineer to help advance Amplitude's AI products and the foundations they're built on. As AI reshapes how customers analyze data, build products, and act on insights, we need engineers who can move fluidly between deep technical work and product judgment, shipping AI capabilities that customers and internal teams actually rely on. This role is both visionary and hands-on. You'll identify where AI creates the most leverage, build the systems that deliver it,
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TITLE: Enterprise Account Executive
EMPLOYER: Cinder
LOCATION: New York | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/cinder/4ad49122-0b86-4dab-948a-966fd64978ec
EXCERPT: Enterprise Account Executive New York | OnSite ABOUT CINDER Cinder helps companies protect their users, platforms, and AI systems from abuse. Organizations building AI products and operating large-scale online platforms face rapidly evolving threats-from fraud and disinformation to unsafe AI behavior. Cinder provides the infrastructure teams need to detect, investigate, and respond to these risks through a platform that combines AI agents, workflow tools, and human expertise. Our customers use Cinder to manage Trust & Safety operations, conduct AI red teaming, investigate fraud, and enforce platform policies at scale. We support some of the most innovative technology companies in the world as they build the next generation of AI-powered products. Cinder is backed by Accel and Y Combinator. THE ROLE Cinder is hiring an Enterprise Account Executive to help scale our go-to-market motion and drive the next phase of company growth. This role is responsible for generating pipeline, running complex enterprise sales cycles, and closing high-value deals with companies building AI systems and operating large online platforms. You'll work closely with Cinder's founders, product team, Sales Engineer, and marketing team to bring our platform to organizations solving some of the most challenging safety and integrity problems on the internet. This is a full-cycle sales role: you will generate pipeline through outbound prospecting, manage deals end-to-end, and expand relationships with existing customers. If you enjoy selling technical products, navigating complex organizations, and helping define a new category, this role offers an opportunity to do meaningful work with ambitious customers. WHAT YOU'LL
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TITLE: Senior Deep Learning Architect, Generative AI Innovation Center
EMPLOYER: Amazon
LOCATION: Tokyo, JPN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
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/10439873/senior-deep-learning-architect-generative-ai-innovation-center
EXCERPT: Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run
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TITLE: Software Engineer
EMPLOYER: SambaNova Systems
LOCATION: San Jose, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-03
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://sambanova.ai/sambanova-available-positions/?gh_jid=5817837004
EXCERPT: Software Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova is hiring Software Engineers for SambaNova's SambaStack platform. We are helping enterprises and service providers host their own AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Engineer on the SambaStack team, you will further improve performance, scalability, and reliability while introducing new features and capabilities to our state-of-the-art inference serving platform. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities - Ensure the continued stability, scalability, and performance of our AI inference platform . - Collaborate with
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TITLE: Client Partner, Scaled Accounts
EMPLOYER: Augury
LOCATION: US (unspecified)
SALARY: $115K-$155K
POSTED: 2026-06-07
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.augury.com/careers/8538900002?gh_jid=8538900002
EXCERPT: Client Partner, Scaled Accounts US Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. We are seeking a highly operational and execution-oriented Scale Client Partner to manage a high-volume portfolio of customers, driving retention, renewal predictability, and consistent customer value at scale. This role is paired with a technical success manager and is responsible for managing the post-sale customer lifecycle through structured, repeatable motions, including adoption, value realization, and renewal execution. Unlike enterprise-focused roles, this position emphasizes breadth over depth, requiring strong prioritization, disciplined system usage, and the ability to efficiently manage many accounts simultaneously. The ideal candidate brings strong renewal management experience, forecasting rigor, and the ability to connect customer outcomes to commercial impact across a broad and diverse book of business. This position is Remote. Preferred time zones are Eastern US and Central US. A Day In Your Life Manage a portfolio of SMB and mid market accounts, prioritizing engagement based on renewal timing, customer health, risk signals, and growth potential. Own end
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TITLE: AI Training - Research Scientist (EST)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761583101
EXCERPT: AI Training - Research Scientist (EST) Remote AI Trainer - Research Scientists 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 Research Scientist experience 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 research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and
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TITLE: Growth Operator
EMPLOYER: Distyl AI
LOCATION: San Francisco, California, USA, New York (unspecified)
SALARY: $160K-$220K
POSTED: 2026-04-09
APPLY_URL: https://jobs.ashbyhq.com/distyl/3cadb613-3643-4619-9ca7-47f46f8ca397
EXCERPT: Growth Operator 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 Distyl AI is looking for a technical growth leader to open new vertical markets from scratch. You'll be identifying high-value segments, running discovery with enterprise buyers, closing initial design partners, and shaping how our platform gets packaged for each new market. This is not an account management role. You're building pipeline where none exists, in industries where AI adoption is early and the buyers are sophisticated. You need to understand technical architectures
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TITLE: Staff SRE, AI Infrastructure
EMPLOYER: Andromeda Surgical
LOCATION: North America Remote / San Francisco, CA | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/andromeda/ff479ce6-223c-4e78-9ace-ed23a729cd52
EXCERPT: Staff SRE, AI Infrastructure North America Remote / San Francisco, CA | Remote STAFF SRE, AI INFRASTRUCTURE Location: North America Remote / San Francisco · Full-Time ABOUT ANDROMEDA Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our aim is to become a liquidity layer for global AI compute - routing workloads across providers, GPU generations, and geographies the way financial markets route capital. We're a small, senior team where one engineer's judgment shapes every customer's experience. You'll join early enough to define how we run infrastructure at scale, work directly with the world's most demanding AI customers, and build a career operating at the frontier of what compute can do. THE ROLE We're hiring a Staff SRE to own the reliability of Andromeda's infrastructure end to end - from a node being racked and joined to a cluster, through the schedulers and control planes that place jobs on it, up to the customer-facing surface where a training run either succeeds or doesn't. We're looking for someone with multiple years of hands-on experience operating GPU infrastructure at scale. You read NVIDIA release notes the day they drop. You have war stories about NCCL, fabric topology choices, and what it takes to keep a multi-thousand-GPU run healthy. You move comfortably from a
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TITLE: Machine Learning Engineer: LLM Interpretability & Systems
EMPLOYER: CTGT
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/ctgt/c6916802-4158-4f24-b4b1-ac978157b6d9
EXCERPT: Machine Learning Engineer: LLM Interpretability & Systems San Francisco | OnSite ABOUT CTGT & THE MISSION Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence. Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time. While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice. Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today. THE ROLE A new open-source model is released and you are compelled to reach inside and understand how it actually works. You instinctively try to push it beyond what most people say is already impressive. You observe model behavior and don't think, “What's a better prompt?”, but “How do I improve its fundamentals?” CTGT's Senior Machine Learning Engineer will operate deep within the model stack, working directly with weights, activations, and architectures to build the systems that make AI
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TITLE: Generative AI Applied Scientist, SIML - ISE
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-06-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200632699/generative-ai-applied-scientist-siml-ise?team=MLAI
EXCERPT: Generative AI Applied Scientist, SIML - ISE Cupertino, United States of America Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream
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TITLE: Senior Software Engineer, AI, TPU Infrastructure
EMPLOYER: Google
LOCATION: Taipei, Taiwan (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckciBCniTIzHknINp1g00XvzR9iEbSHCxuVAT7By1sBWYEjoACxwdTJdbavQ90U1yHZT5KhfjbkdG9mdPUPgVpzCNkviwCAX2YzYsVfWfgTJ1AQxq_NVRc4TNZUVd_V2&loc=TW&title=Senior+Software+Engineer
EXCERPT: Senior Software Engineer, AI, TPU Infrastructure Taipei, Taiwan Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for
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TITLE: Staff Product Manager, Data Services
EMPLOYER: CoreWeave
LOCATION: Bellevue, WA / Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA (unspecified)
SALARY: $188K-$275K
POSTED: 2026-04-09
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?4671513006&board=coreweave&gh_jid=4671513006
EXCERPT: Staff Product Manager, Data Services Bellevue, WA / Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA 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 Data Services Team builds and operates the data platform that powers CoreWeave's AI cloud, from transactional and analytical storage to streaming, metadata, and governance. We give our customers and CoreWeave engineers the primitives they need to ingest, store, process, and serve data at the scale and performance that next-generation AI workloads demand. If you want to define how data flows across a rapidly scaling AI cloud, and turn that strategy into infrastructure others depend on, this is your team. About the role: As a Staff Product Manager for Data Services, you'll own the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio: databases, data lakes, streaming, metadata and catalog, and data sharing and integration. You'll shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 toN. That means working directly with strategic customers and partners,
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TITLE: AIML - Machine Learning Researcher, Data and ML Innovation
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $140K-$258K
POSTED: 2025-07-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200591371/aiml-machine-learning-researcher-data-and-ml-innovation?team=MLAI
EXCERPT: AIML - Machine Learning Researcher, Data and ML Innovation Santa Clara, United States of America The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies. As a
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TITLE: Senior AI Engineer
EMPLOYER: Zoom Communications, Inc.
LOCATION: San Jose (CA) (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://zoom.wd5.myworkdayjobs.com/zoom/job/San-Jose-CA/Senior-AI-Engineer_R19189
EXCERPT: Senior AI Engineer San Jose (CA) posted:
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TITLE: Senior Data Strategy & Operations Lead
EMPLOYER: Preply
LOCATION: Barcelona, Catalunya, Spain (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-14
APPLY_URL: https://jobs.ashbyhq.com/preply/ea2bcc2c-0a29-4443-bed1-6c668050a181
EXCERPT: Senior Data Strategy & Operations Lead Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! Preply's Data & Applied AI team sits at the intersection of data intelligence and AI-driven product innovation. We build the data foundations, analytics capabilities, and applied AI systems that power Preply's growth, from personalisation and matching algorithms to marketplace intelligence, experimentation platforms, and emerging AI-powered learning features. As Preply scales and AI becomes increasingly central to our product and business strategy, the demands on this team are growing fast. We need someone who can bring operational rigour, strategic clarity, and cross-functional coordination to help the team deliver at its best. This role reports directly to the VP of Data & Applied AI. This is
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TITLE: Senior AI Systems Performance Engineer
EMPLOYER: SambaNova Systems
LOCATION: San Jose, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-21
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://sambanova.ai/sambanova-available-positions/?gh_jid=5719052004
EXCERPT: Senior AI Systems Performance Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role We are seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You'll work hands-on with some of the most advanced models in the world - such as DeepSeek R1, GPT OSS, and other frontier architectures - to push the limits of throughput, latency, and efficiency. In this role, you'll bridge the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference. Responsibilities - Bring up and optimize cutting-edge foundation models (e.g., DeepSeek, Llama, Qwen, and others) on the SambaNova platform through the SambaNova software stack. - Profile and enhance model performance across compiler, runtime,
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TITLE: AI Engineering Lead
EMPLOYER: Raspberry AI
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-19
APPLY_URL: https://jobs.ashbyhq.com/raspberry/5c90f7da-4022-48f3-8c66-36434f3c4706
EXCERPT: AI Engineering Lead United States AI Engineering Lead Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our platform empowers global brands to understand consumer demand, generate unique designs within minutes, and revolutionize how products are conceived and brought to market. Backed by Andreessen Horowitz, Khosla Ventures, MVP, and Greycroft , Raspberry AI is transforming a $2.5T industry through cutting-edge generative and multimodal AI . About the Role We are seeking an experienced AI Engineering Lead to drive the next generation of generative AI capabilities powering Raspberry's creative intelligence platform. This person will own development of Raspberry's suite of creative AI tools, spanning image generation, editing and end-to-end design workflows. They will define how models, orchestration and evaluation come together to deliver reliable and powerful design experiences for our customers, and will own the technical direction and quality of the AI systems that power the product. You'll operate at the intersection of research, engineering, and product , shaping how AI drives creativity, collaboration, and impact across the fashion ecosystem. Key Responsibilities - Develop and own the technical roadmap for Raspberry's creative AI tools, spanning image generation, editing, and end-to-end design workflows. - Mentor and guide a small team of ML engineers and researchers , raising the bar on experimentation, code quality, system design, and impact. - Design and evolve the systems and model orchestration in order to improve quality, controllability, and realism in generated designs. - Conduct applied research and rapid
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TITLE: AI Trainer - Advanced SQL Developers (Remote)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4656168101
EXCERPT: AI Trainer - Advanced SQL Developers (Remote) 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 training tasks
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TITLE: FP&A Manager
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
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/e3c7347b-5b02-4700-abc5-ad0d522fdfc7
EXCERPT: FP&A Manager San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. 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 - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue The Role As FP&A Manager, reporting to the Senior Director, FP&A, you will serve as a strategic finance partner to our R&D and COGS leaders, ensuring our financial models, forecasts, and reporting infrastructure scale with Handshake's rapid growth across Careers and Handshake AI. This is a high-visibility role partnering directly with executives to shape investment decisions, improve forecast accuracy, and drive financial rigor across the business. Your work will directly influence how we allocate
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TITLE: German 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/4896009101
EXCERPT: German 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: Principal Product Manager, Machine Health & Industrial AI Workforce
EMPLOYER: Augury
LOCATION: US (unspecified)
SALARY: $215K-$250K
POSTED: 2026-06-07
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.augury.com/careers/8555285002?gh_jid=8555285002
EXCERPT: Principal Product Manager, Machine Health & Industrial AI Workforce US Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. You are a Principal Product Manager that will lead key initiatives across Machine Health and Augury's emerging Industrial AI Workforce offerings. This role sits at the intersection of industrial AI, machine health, IoT, enterprise software, and operational workflows. You will define and scale products that expand Augury's machine coverage while helping bring AI-powered experiences to reliability, maintenance, and operations teams. You will partner closely with Engineering, Data Science, Design, GTM, Operations, and strategic customers to take products from concept through launch and adoption. This is a highly strategic and hands-on role for someone who thrives in complex environments and enjoys turning ambitious ideas into scalable products with measurable customer impact. A Day In Your Life Define and Scale Machine Coverage Strategy Own product strategy and roadmap for expanding Augury's machine coverage across asset types, environments, and customer segments Develop scalable offerings that combine hardware, software, analytics,
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TITLE: ML Engineer (Research)
EMPLOYER: Higgsfield
LOCATION: Almaty (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-27
APPLY_URL: https://jobs.ashbyhq.com/higgsfieldai/94d3e5da-fbb0-42c9-a4fe-255b2c177109
EXCERPT: ML Engineer (Research) 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 you will work on - Design and implement end-to-end training pipelines for state-of-the-art models in computer vision - video and image generative models. - Develop complex data pipelines to transform raw inputs (images, video, text, audio) into high-quality, annotated datasets that power model training and evaluation. - Work tightly with scrapping and annotation teams. - Optimize models for speed, scalability, and efficiency . - Develop tools and frameworks to accelerate training, evaluation, and deployment of large models. - Collaborate with product and design teams. - Beat other models on public benchmarks (e.g. LMArena, Artificial Analysis) Your must haves ***(** You don't need to meet every single requirement to be a strong candidate - if you're excellent in a few of these areas and eager to grow, we'd still love to hear from you. ) - Proven track record of training and deploying ML models into production (experience with large-scale vision (especially diffusion models), NLP, or multimodal systems is a big plus). - Strong skills in model training, optimization, and evaluation , with hands-on experience in distributed training and multi-GPU systems is a big plus.
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TITLE: Founding Account Executive, New AI product, German market
EMPLOYER: Aircall
LOCATION: Paris Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-25
APPLY_URL: https://jobs.lever.co/aircall/6cd94bc1-1c78-400d-9435-9d091873988a
EXCERPT: Founding Account Executive, New AI product, German market Paris 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, but we aren't stopping there. We are building a brand-new, standalone AI product designed to revolutionize pipeline management
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TITLE: Director, Forward Deployed Engineering & AI GTM Lead
EMPLOYER: Aircall
LOCATION: Seattle Office (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/aircall/13df67eb-2f59-4819-9266-ee35be751769
EXCERPT: Director, Forward Deployed Engineering & AI GTM Lead Seattle 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. About the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall's AI Communication Agent.
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TITLE: Staff AI Software Engineer
EMPLOYER: Aircall
LOCATION: Paris Office (unspecified)
SALARY: EUR 80K-120K
POSTED: 2026-01-20
APPLY_URL: https://jobs.lever.co/aircall/9defe8cf-8083-49a7-b275-8f13fcfe4cf3
EXCERPT: Staff AI Software Engineer Paris 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 looking for an engaged and passionate Staff AI Software Engineer to join our growing engineering department and be part of our engineering teams. As a Staff AI Software
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TITLE: Applied AI Engineer - iCloud Data
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-05-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200661135/applied-ai-engineer-icloud-data?team=SFTWR
EXCERPT: Applied AI Engineer - iCloud Data Cupertino, United States of America Would you like to drive the future of Apple's data platform and shape how AI fundamentally transforms the way we build, operate, and scale data at Apple, while having the unique opportunity to impact some of the most far-reaching software applications in the world? The iCloud Data organization within Apple Services enables iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar, Enterprise & Education etc) on every device, all the time, through consistent, scalable, timely, accurate, complete and fully integrated data infrastructure that surfaces relevant information. We are investing deeply in a new generation of AI-native capabilities, agents, intelligent workflows, and self-serve analytics, to accelerate our Data Engineering and Data Science teams and define what an AI-first data organization looks like at Apple scale. If this excites you and you're energized by taking novel AI techniques from research to production on hard, high-leverage, high-scale problems, we'd love to hear from you! We're seeking a top-tier Applied AI Engineer with strong architectural thinking, deep AI/ML knowledge and robust software skills, who has built AI products end-to-end, has sharp intuition for LLMs, agents, retrieval and evaluation, and shares our passion for trustworthy data-driven products at Apple. Build the AI foundation of our data platform, scalable and trustworthy AI products, agents and workflows that power self-serve analytics, experimentation, and data engineering across iCloud, in partnership with Engineering, Data Science, Product, Platform and Research, improving how we build,
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TITLE: AI Strategist + Scriptwriter
EMPLOYER: Higgsfield
LOCATION: Almaty (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-27
APPLY_URL: https://jobs.ashbyhq.com/higgsfieldai/ece8eaf3-9a65-4a56-b17d-065f719b104a
EXCERPT: AI Strategist + Scriptwriter 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 Research Means at Higgsfield At Higgsfield, growth is about distribution and revenue , not theory or vibes. An AI Strategist is a high-agency operator + storyteller who turns trends into content that actually performs. This role combines growth research, trend analysis, and YouTube scriptwriting into one end-to-end function: You identify what should be made, and you help define how it should be told. This is a hands-on role. You research, decide, write, and iterate . No ivory-tower strategy. What You Will Do Trend, Platform & AI Research - Track emerging trends in GenAI, AI tools, YouTube formats, and social platforms. - Monitor creators, features, and content patterns driving outsized engagement. - Identify what's gaining traction early-and what's already saturated. Content Strategy & Ideation - Translate research into clear, high-leverage content ideas . - Propose video concepts, series, and formats with strong distribution potential. - Prioritize ideas based on reach, watch time, engagement, and revenue impact . Scriptwriting & Storytelling - Write or heavily shape YouTube scripts from hook to CTA. - Craft strong openings, narrative flow, explanations, and payoff moments. - Adapt
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TITLE: Applied AI Engineers
EMPLOYER: Zoom Communications, Inc.
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://zoom.wd5.myworkdayjobs.com/zoom/job/Remote--US/Applied-AI-Engineers_R19229-1
EXCERPT: Applied AI Engineers 3 Locations posted:
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TITLE: Senior Software Engineer, Agentic AI Systems, Cloud Security
EMPLOYER: Google
LOCATION: San Francisco, CA, USA (unspecified)
SALARY: $174K-$253K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQr_2QWGCwbkYk2faHHzZ4PJSY041QiUsyT2b_Phs7OhEjsACxwdTHjHT3VcrQppP6Hr8Ctky7WvGN8dU7WTuHTk-mD8_oAHOMws7GYW94BCsGAIC6qWBZ19FL3Lvg%3D%3D_V2&loc=US&title=Senior+Software+Engineer
EXCERPT: Senior Software Engineer, Agentic AI Systems, Cloud Security San Francisco, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a part of Google Cloud Security, you will be redefining security for the new AI era. Your goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. You will be at the forefront of revolutionizing the Google Security Operations (SecOps) through the power of artificial intelligence. You will be part of a team of talented engineers and applied scientists in building the next-generation of Security Agentic AI systems that will protect major organizations worldwide. As a Senior Software Engineer, you will contribute to the research, design, development,
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TITLE: Senior Software Engineer, Scaling AI Systems
EMPLOYER: Abridge
LOCATION: SF Office, San Francisco, California, USA, NYC Office (unspecified)
SALARY: Not disclosed
POSTED: 2025-05-21
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/abridge/dd85cb94-d1c1-4e37-a26e-4648e9ebc714
EXCERPT: Senior Software Engineer, Scaling AI Systems SF Office, San Francisco, California, USA, NYC Office About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced software engineers to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our development cycle, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams
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TITLE: Partner Marketing Programs Specialist
EMPLOYER: Elastic NV
LOCATION: Canada (unspecified)
SALARY: CAD 82K-130K
POSTED: 2026-01-26
APPLY_URL: https://jobs.elastic.co/jobs?gh_jid=7558778&gh_jid=7558778
EXCERPT: Partner Marketing Programs Specialist Canada 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 At Elastic, our ecosystem is central to how we grow. The Partner Marketing team drives how we market with, to, and through our partners-creating scalable, repeatable programs that enable co-marketing across Elastic's ecosystem. We are seeking a Partner Marketing Program Specialist to support the execution of co-marketing programs at scale. This role focuses on turning established strategy into action-supporting repeatable campaigns, partner-ready assets, and execution frameworks that enable consistent global delivery. This is a hands-on execution role that requires excellent judgment, cross-functional collaboration, and the ability to manage complex workstreams within defined frameworks. What You Will Be Doing Implement Scaled Co-Marketing Programs - Support the execution of global and regional co-marketing initiatives across Elastic's partner ecosystem. - Coordinate timelines, assets, approvals, and partner inputs to ensure programs launch on time and at scale. - Apply judgment within established processes to adapt execution
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TITLE: Data Scientist
EMPLOYER: Arena
LOCATION: Bay Area, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-19
APPLY_URL: https://jobs.ashbyhq.com/arena/81faa42c-c9a3-433e-b6bc-9ad7eefb88af
EXCERPT: Data Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As a Data Scientist you'll explore and reason about the data that powers millions of AI evaluations each week. You'll generate and test hypotheses, identify causal relationships, and uncover insights that help us understand how frontier models behave in the real world. You'll collaborate with ML
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TITLE: Senior AI/ML Engineer
EMPLOYER: Sigma Computing
LOCATION: New York City, NY (unspecified)
SALARY: $240K-$270K
POSTED: 2026-06-09
APPLY_URL: https://job-boards.greenhouse.io/sigmacomputing/jobs/7767728003
EXCERPT: Senior AI/ML Engineer New York City, NY About the Role At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions-fast. That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You'll Do - Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities - Prototype and productionize AI systems that feel intuitive but do a lot under the hood-recommendations, natural language interfaces, agentic workflows, and more - Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features - Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required) - 10+ years of experience building and deploying production-grade AI/ML systems - Deep knowledge of machine learning, deep learning, and applied AI - Experience across the full ML lifecycle: data curation, training, deployment, monitoring - A track record of building things that ship-whether it's recommendations, search, machine
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TITLE: Principal Software Engineer - Search Scaling - Elasticsearch
EMPLOYER: Elastic NV
LOCATION: London, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-22
APPLY_URL: https://jobs.elastic.co/jobs?gh_jid=7051986&gh_jid=7051986
EXCERPT: Principal Software Engineer - Search Scaling - Elasticsearch London, United Kingdom 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're looking for a Principal Software Engineer to join the Elasticsearch - Search Scaling team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch's core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive
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TITLE: Principal Software Engineer - Search Scaling - Elasticsearch
EMPLOYER: Swiftype
LOCATION: London, England, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.elastic.co/jobs/department/engineering/london-united-kingdom/principal-software-engineer-search-scaling-elasticsearch/7051986
EXCERPT: Principal Software Engineer - Search Scaling - Elasticsearch London, England, United Kingdom 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're looking for a Principal Software Engineer to join the Elasticsearch - Search Scaling team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch's core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and
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TITLE: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $255K-$345K
POSTED: 2026-02-02
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/3172291/member-of-technical-staff-multimodal-reasoning-applied-science-agi-autonomy
EXCERPT: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done
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TITLE: Software Engineer, Backend (Cooperative AI)
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States, Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/bd190cad-99ec-4fe7-8f8f-de96b5aa5969
EXCERPT: Software Engineer, Backend (Cooperative AI) San Francisco, California, United States, Seattle About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you'll build robust systems and backend services that serve as the
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TITLE: AI Trainer - Advanced Dutch Fluency - Remote/Rotterdam
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4789026101
EXCERPT: AI Trainer - Advanced Dutch Fluency - Remote/Rotterdam 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
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TITLE: AI Operations Engineering Technical Leader
EMPLOYER: ThousandEyes
LOCATION: Milpitas, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Milpitas-California-US/AI-Operations-Engineering-Technical-Leader_2013252/apply
EXCERPT: AI Operations Engineering Technical Leader Milpitas, California, United States of America Exciting opportunity for an AI Operations Engineering Technical Leader and drive the production readiness, deployment, and maintenance of scalable ML systems. Collaborate with cross-functional teams, implement CI/CD pipelines, and leverage cutting-edge cloud and automation tools to deliver secure, resilient AI solutions at scale. Shape the future of AI innovation with Cisco.
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TITLE: Sr. Manager, AI Platform Engineering
EMPLOYER: United Airlines Holdings
LOCATION: Chicago, Illinois, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-12
APPLY_URL: https://ual-pro.taleo.net/careersection/10400/jobdetail.ftl?job=WHQ00026170
EXCERPT: Sr. Manager, AI Platform Engineering Chicago, Illinois, United States Join our team as a Senior Manager, AI Platform Engineering and lead the strategy, architecture, and operations of cutting-edge AI and GenAI platforms. Drive innovation, mentor top talent, and collaborate across business units to deliver scalable, secure, and impactful AI solutions at scale. Shape the future of digital transformation with us.
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TITLE: [Annotations] Operations Associate
EMPLOYER: Scale AI
LOCATION: Mexico City, MX (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-18
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4655244005
EXCERPT: [Annotations] Operations Associate Mexico City, MX As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You'll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale's daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: - Build and drive some of our most critical operational processes - Own the day-to-day delivery of customer commitments - Create an effective feedback loop between the front line, product, strategy, and customers - Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: - Advanced English skills - Industry experience (+2) in an operational role and/or a top-tier consulting firm - An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
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TITLE: Senior Director of AI and Data Strategy
EMPLOYER: Danaher Corporation
LOCATION: Cambridge, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Cambridge-United-Kingdom/Senior-Director-of-AI-and-Data-Strategy_R1312082/apply
EXCERPT: Senior Director of AI and Data Strategy Cambridge, United Kingdom Join our team as Senior Director of AI and Data Strategy to lead enterprise-scale AI initiatives in life sciences and biotechnology. Drive digital transformation, AI adoption, and data strategy across commercial and supply chain operations. Collaborate with executive leadership and cross-functional teams to deliver measurable impact in a dynamic, innovative environment.
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TITLE: AI Trainer - Malaysia
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4671286101
EXCERPT: AI Trainer - Malaysia Remote AI Trainer - Malaysia 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 AI Trainers based in Malaysia 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 participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $20/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 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 as analyzing, editing, and writing in your chosen languages Judging the performance of AI in many different forms Improving cutting-edge AI models Why Prolific is a great platform to join as
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TITLE: Director, AI Workflow Transformation
EMPLOYER: eBay Inc.
LOCATION: San Jose, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ebay.wd5.myworkdayjobs.com/apply/job/San-Jose/Director--AI-Workflow-Transformation_R0073002/apply
EXCERPT: Director, AI Workflow Transformation San Jose, California, United States of America Join our team as Director, AI Workflow Transformation and lead the re-engineering of enterprise workflows at scale. Drive digital transformation, partner with business and IT leaders, and shape the future of AI-powered collaboration at eBay. Make a measurable impact by optimizing workflows and enabling global adoption of cutting-edge AI capabilities.
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TITLE: Director, AI Change Enablement
EMPLOYER: eBay Inc.
LOCATION: San Jose, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ebay.wd5.myworkdayjobs.com/apply/job/San-Jose/Director--AI-Change-Enablement_R0073001/apply
EXCERPT: Director, AI Change Enablement San Jose, California, United States of America Join our team as Director, AI Change Enablement and lead the transformation of workforce strategy at eBay. Drive enterprise-wide AI adoption, shape organizational change, and empower teams to thrive in an AI-enabled environment. Collaborate with senior leaders and cross-functional teams to deliver impactful change and innovation at a global scale.
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TITLE: Strategic Pricing Analyst, AI Products
EMPLOYER: Blackbaud Inc
LOCATION: Remote, United States of America (remote)
SALARY: Not disclosed
POSTED: 2026-05-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://blackbaud.wd1.myworkdayjobs.com/ExternalCareers/job/Remote---Anywhere---USA/Strategic-Pricing-Analyst--AI-Products_R0014139/apply
EXCERPT: Strategic Pricing Analyst, AI Products Remote, United States of America Exciting opportunity for a Principal AI Pricing Analyst to lead the design and scaling of innovative pricing models for AI-driven products. Partner with product leaders to drive monetization strategy, influence cross-functional teams, and shape the future of AI pricing. Join us to make a significant impact on product value and adoption.
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TITLE: Senior AI Engineer - AI Product
EMPLOYER: ClickUp
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-30
APPLY_URL: https://jobs.ashbyhq.com/clickup/40010433-0765-440a-ad17-f071f3b969f9
EXCERPT: Senior 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 skilled and innovative Senior 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
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TITLE: Director, NHI & AI Identity Engineering (Global Security)
EMPLOYER: Royal Bank of Canada
LOCATION: TORONTO, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/16-YORK-STTORONTO/Director--NHI---AI-Identity-Engineering_R-0000174061-1/apply
EXCERPT: Director, NHI & AI Identity Engineering (Global Security) TORONTO, Ontario, Canada Join our team as Director, NHI & AI Identity Engineering and lead the development of enterprise-scale non-human identity and AI security solutions. Drive innovation in identity management, cloud integration, and regulatory compliance while mentoring top engineering talent. Shape the future of secure AI and automation in a dynamic, global environment.
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TITLE: Language Alignment & Resource Partner - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $10-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4832344101
EXCERPT: Language Alignment & Resource Partner - Freelance AI Trainer Project United States of America Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance. Core skillset includes: Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. Prior, tangible experience working in human data evaluation or annotation. Verified English language proficiency of C1 or
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TITLE: AI/ML Applied Data Scientist - Generative AI
EMPLOYER: SAP
LOCATION: Country USA | Internal Posting Location Irvine (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.sap.com/job/Newport-Beach-AIML-Applied-Data-Scientist-Generative-AI-CA-92660/1387529433/
EXCERPT: AI/ML Applied Data Scientist - Generative AI Country USA | Internal Posting Location Irvine We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary We're hiring an experienced AI/ML Scientist to join our newly formed Foundation Model team in Newport Beach. This team sits at the forefront of SAP's cloud transformation, building specialized foundation models and AI agents that accelerate our customers' data transformation journeys. We own the full stack: continued pretraining on SAP data, fine-tuning for domain-specific tasks, and the agentic workflows that bring these models into SAP products. You'll partner closely with our pretraining and fine-tuning leads, teams in Europe and India, and early-adopter customers. What you'll do · Model Development: Oversee the development, fine-tuning, and integration of foundation models into SAP solutions to streamline cloud transformation journeys. · Build agents and agentic workflows: Design multi-step, tool-using agents (single-agent and multi-agent) that solve real SAP business problems, planning, tool calling, memory, reflection, and human-in-the-loop patterns. · Evaluate rigorous
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TITLE: Applied AI Engineer, Handshake AI Enterprise
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/b1e63b0f-daa0-48d0-b69d-676576b2c70f
EXCERPT: Applied AI Engineer, Handshake AI Enterprise San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. 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 - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest
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TITLE: AI Trainer - Clinicians (CAN)
EMPLOYER: Prolific
LOCATION: remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4780057101
EXCERPT: AI Trainer - Clinicians (CAN) 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: Director of AI
EMPLOYER: Netography
LOCATION: San Jose, CA, United States (hybrid)
SALARY: $252K-$341K
POSTED: 2026-03-27
APPLY_URL: https://www.vectra.ai/about/jobs?gh_jid=7693068
EXCERPT: Director of AI San Jose, CA, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. About Vectra Vectra is the world leader in AI-driven cybersecurity, applying cutting-edge AI to detect and stop sophisticated cyberattacks across hybrid cloud, identity, and network environments. We are doubling down on AI innovation to drive strategic impact, accelerate our product roadmap, and ensure that we continue to deliver the most accurate threat signal in the industry. Role Overview We're looking for a strategic and inspired Head of AI to lead our AI and data engineering teams, drive our AI business transformation strategy, and serve as a resident expert within the organization. You will shape the vision and execution of AI initiatives a nd work with business leadership to unlock the next wave of AI-driven capabilities across our organization, including IT, Go To Market, Customer, G&A and Product functions T his individual will focus on creating and operationalizing AI strategy while scaling team capabilities and ensuring high ROI from AI
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TITLE: Senior Member of Technical Staff, Multimodal AI
EMPLOYER: Cohere Health
LOCATION: San Francisco | Remote | New York | Toronto | Montreal | Paris (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2
EXCERPT: Senior Member of Technical Staff, Multimodal AI San Francisco | Remote | New York | Toronto | Montreal | Paris Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what's possible, and we're looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI. July 31st 2025 - Cohere's Multimodal team Introduced Command A Vision: Multimodal
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TITLE: Senior Applied AI Engineer, Handshake AI Enterprise
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/b777e140-6ccd-44e6-9709-5a43c4b1ca7a
EXCERPT: Senior Applied AI Engineer, Handshake AI Enterprise San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. 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 - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the
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TITLE: Principal Product Manager, AI
EMPLOYER: Okta, Inc.
LOCATION: San Francisco, California (unspecified)
SALARY: $210K-$263K
POSTED: 2026-05-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.okta.com/company/careers/opportunity/7895690?gh_jid=7895690
EXCERPT: Principal Product Manager, AI San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Enterprise AI Engineering Team At Okta, you'll be part of an Enterprise AI Engineering Team that spans the US and India. You'll work on cutting-edge Applied AI products while shaping the platform foundations that make secure, scalable AI possible at enterprise scale. If you're passionate about building AI that is smarter, faster, and always secure , this is your opportunity to make an impact. The Principal Product Manager, Enterprise AI Opportunity Okta is building the next generation of AI-native enterprise products, transforming how customers, employees, and partners work. Within Technology, Data & Intelligence (TDI), we operate as Customer Zero, designing and delivering AI-powered products that reshape how Okta Secures AI and inform what we bring to market. You'll own the full lifecycle of AI-native enterprise products, from 0->1 innovations to 1->N scaling them into company-wide capabilities. You'll balance rapid experimentation with disciplined execution, building AI experiences that fundamentally change how work gets done. What you'll be doing
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TITLE: Machine Learning Engineer - Evaluation
EMPLOYER: HackerRank
LOCATION: Hybrid in Santa Clara, CA (hybrid)
SALARY: $120K-$235K
POSTED: 2026-04-10
APPLY_URL: https://job-boards.greenhouse.io/hackerrank/jobs/7793404
EXCERPT: Machine Learning Engineer - Evaluation Hybrid in Santa Clara, CA HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world's most innovative companies to build strong engineering teams ready for what's next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve. Open Problem How do you measure skill when AI is already in the room? Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and
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TITLE: Principal Technical Product Manager - AI Platform, Remote
EMPLOYER: Aledade
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 4
APPLY_URL: https://jobs.lever.co/aledade/f28cd102-8b2d-4d3b-9b4a-a198811f6b92
EXCERPT: Principal 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, building the foundation 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 Principal Technical Product Manager on the AI Platform team, you will be instrumental in defining and delivering the roadmap to drive the execution and scale of our AI Platform that supports internal stakeholders and external AI Products. You'll work at the intersection of machine learning systems, data engineering, and applied healthcare AI, partnering closely with AI engineers, data scientists, and clinical leadership to develop production grade systems that support reliable interference pipelines across millions of patient records. Your contributions will help improve quality and cost of care for over 2 million patients who are treated by Aledade providers. Aledade is dedicated to transforming value based care through innovative technology. Our AI Platform team is at the forefront, building the foundation 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 Principal Technical Product Manager on the AI Platform team, you will be instrumental in defining and delivering the roadmap to drive the execution and scale of our AI Platform that supports internal stakeholders and external AI Products. You'll work at the intersection of
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TITLE: AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services
EMPLOYER: Amazon
LOCATION: The Hague, South Holland, NLD (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
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/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services
EXCERPT: AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The Hague, South Holland, NLD 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,
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TITLE: Staff AI Engineer - AI Platform
EMPLOYER: ClickUp
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-30
APPLY_URL: https://jobs.ashbyhq.com/clickup/143d20ff-cc53-4dc0-bc8b-09a7c1bddf87
EXCERPT: Staff AI Engineer - AI Platform 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 Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and
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TITLE: AI Lab - Machine Learning Engineer
EMPLOYER: Hewlett-Packard
LOCATION: Sant Cugat del Valles, Barcelona, Spain (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hp.eightfold.ai/careers/job/28359629
EXCERPT: AI Lab - Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain
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TITLE: AI Solutions Lead, Strategic Initiatives, Automation, Efficiency
EMPLOYER: Bank of Nova Scotia
LOCATION: Toronto (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.scotiabank.com/job/Toronto-AI-Solutions-Lead%2C-Strategic-Initiatives%2C-Automation%2C-Efficiency-ON-M5H1B6/599599417/
EXCERPT: AI Solutions Lead, Strategic Initiatives, Automation, Efficiency Toronto Requisition ID: 249960 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The AI Solutions Lead will implement and deploy advanced AI and machine learning solutions to drive automation, efficiency, and innovation across the organization.Joining the Advanced Capability Office (ACO) within Global Risk Management, you will help advance the Bank's strategic pillars through innovation, scaling AI-driven solutions, and re-engineering processes for operational excellence. As the AI Solutions Lead, your focus will be to translate AI into business outcomes at scale. You will bring deep technical expertise to the team, implementing AI capabilities that address complex business challenges across Global Risk Management. You will lead the hands-on implementation of AI solutions and collaborate closely with key stakeholders to effectively execute AI needs across the organization. In addition, you will provide support for executing and formalizing AI standards of practice to ensure consistency and quality across all initiatives, while adhering to the Bank's AI Risk Governance framework. Is this role right for you? In this role you will: Implementation & Vendor Engagement Identify use cases with stakeholders; define success metrics and guardrails. Select build/buy options (custom models vs. platform features, e.g., Copilot/LLM services). Assist in the strategic implementation and deployment of internal and vendor developed Large Language Mo
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TITLE: AI Architect
EMPLOYER: Saviynt
LOCATION: Bengaluru (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-26
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/saviynt/8ed6107c-5987-4e03-b1c5-8370c5c6433a
EXCERPT: AI Architect Bengaluru 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. Saviynt's Expert Services team is building AI-first capabilities that fundamentally change how identity governance solutions are delivered at scale. We are creating a new category of intelligent automation at the intersection of identity security and applied AI. As our AI Architect, you will define the technical vision and system architecture for these capabilities. You'll make foundational decisions on how large language models, agentic workflows, and domain-specific AI integrate with Saviynt's platform to deliver production-grade automation. This role requires someone who can operate at both the whiteboard and the codebase - bridging deep AI/ML systems expertise with enterprise identity domain knowledge. Saviynt's Expert Services team is building AI-first capabilities that fundamentally change how identity governance solutions are delivered at scale. We are creating a new category of intelligent automation at the intersection of identity security and applied AI. As our AI Architect, you will define the technical vision and system architecture for these capabilities. You'll make foundational decisions on how large language models,
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TITLE: RE/RS, Data Understanding - Foundations
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/f9731ef2-9b8a-49ec-95ca-ecef35fa996a
EXCERPT: RE/RS, Data Understanding - Foundations 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 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 builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines 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 problems to carrying long-running work through to impact. - Be excited by OpenAI's empirical, collaborative approach to research. Nice To Have - 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
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TITLE: Commercial Associate, Physical AI
EMPLOYER: Encord
LOCATION: New York | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.ashbyhq.com/encord/99604b6e-3224-406a-a19b-19ddcb554000
EXCERPT: Commercial Associate, Physical AI New York | OnSite About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role Encord is scaling rapidly. We've achieved strong product-market fit and have a clear path to significantly accelerate revenue this year. In Physical AI alone, we've grown revenue 10x over the past 12 months - and we're just getting started. Now, we're looking for exceptional sales talent to help build and scale the Physical AI business from the ground up. Reporting to the Head of Physical AI and partnering closely with our founders and leadership team, you'll take a category-defining AI infrastructure platform to market - selling to some of the most advanced AI teams in the world as we expand from Digital into Physical AI use cases. This is a high ownership, individual contributor role with a path to grow responsibilities from sourcing to supporting on deals and progressing into owning full cycle sales. This is not a traditional BDR role. You'll be an early sales hire with real ownership across the top and middle of the funnel. You'll help shape how
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TITLE: AI Benchmarking Specialist - Chinese, International Seller Growth
EMPLOYER: Amazon
LOCATION: Shanghai, CHN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
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/10442042/ai-benchmarking-specialist-chinese-international-seller-growth
EXCERPT: AI Benchmarking Specialist - Chinese, International Seller Growth Shanghai, CHN The Seller AI team within International Seller Services organization is focused on helping sellers with the right set of Gen-AI/LLM powered tools and agentic solutions that can enable them to accelerate business growth on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. The AI Benchmarking Associate supports the evaluation of AI systems by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. The role combines elements of AI auditing, quality assurance, and traditional audit-style documentation and stakeholder communication. By joining us, you will play a pivotal role in shaping the future of selling on Amazon for sellers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Assist in planning and executing benchmarking exercises for AI models, including defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability • Support content accuracy, relevancy, and privacy checks by reviewing datasets, model outputs, and data handling practices, escalating potential regulatory risks. • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Prepare clear audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations, and contribute to presentations for senior stakeholders Maintain organized audit documentation, evidence, and benchmarking datasets to support internal review •
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TITLE: Senior Business Systems Analyst
EMPLOYER: Astera Labs
LOCATION: San Jose, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4702305005
EXCERPT: Senior Business Systems Analyst San Jose, California, United States 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 . About Astera Labs Astera Labs (NASDAQ: ALAB) is a pioneering fabless semiconductor company headquartered in Silicon Valley, driving the evolution of AI and cloud infrastructure through purpose-built connectivity solutions. As a leader in rack-scale architecture, Astera Labs is enabling the shift to AI Infrastructure 2.0, where compute is optimized at the rack level to support next-generation workloads. Our portfolio spans high-performance silicon, software, and system-level solutions that address critical bottlenecks in data movement across compute, memory, and networking domains. We are committed to open standards, continuous innovation, and building a collaborative environment to solve complex challenges at scale. Role Overview Astera Labs is seeking a hands-on Senior Business System Analyst to own and scale our CRM and business operations systems. This role is responsible for system administration, workflow automation, integrations, and continuous enhancements to support Sales, Operations, Finance, Product, and IT teams. In addition to core Salesforce platform
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TITLE: Principal Supplier Quality Engineer
EMPLOYER: Astera Labs
LOCATION: Taipei, Taiwan (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-15
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4649978005
EXCERPT: Principal Supplier Quality Engineer Taipei, Taiwan 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 . 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. Job Description: We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab's semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT's, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired
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TITLE: AI Trainer - Audiologists
EMPLOYER: Prolific
LOCATION: remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4781771101
EXCERPT: AI Trainer - Audiologists remote AI Trainer - Audiologists 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 Audiologists 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 $30p/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 Audiologists Recent audiology experience and comfort evaluating audiology 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 audiology scenarios and rating them for accuracy, audiology appropriateness, safety, and reasoning quality Comparing
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TITLE: Senior Diagnostic Platform Software Engineer
EMPLOYER: Astera Labs
LOCATION: Taipei, Taiwan (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4695219005
EXCERPT: Senior Diagnostic Platform Software Engineer Taipei, Taiwan 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 . Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions grounded in open standards. 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, 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. Discover more at www.asteralabs.com . Job Description: As member of Astera Labs Hardware Engineering team you will be responsible for building diagnostics and manufacturing software to allow design, test, and manufacture cutting edge high speed datacenter products. You will be working on project from conception to the final production stage at contract manufacturer. The role requires strong and broad software background and good understanding of hardware design and manufacturing practices. At the same time we welcome candidates with deep experience in
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TITLE: AI Engineer, AI & Applications
EMPLOYER: firmus
LOCATION: Singapore or Australia (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-16
APPLY_URL: https://job-boards.greenhouse.io/firmus/jobs/5071736008
EXCERPT: AI Engineer, AI & Applications Singapore or Australia Role Summary The AI Engineer will establish Firmus AI Factory as the foundation for efficient, production-grade distributed training by delivering pre-built training recipes (TorchTitan, Megatron etc.), evaluation benchmarks, and model guidance. You'll work with customers and internal teams to optimize training efficiency, define baselines, and document best practices. Your templates and benchmarks are the anchor point for our hyperscale customers' training workflows and our model arena differentiator. Key Responsibilities - Build production-ready training recipes using TorchTitan and Megatron-LM: model configs, parallelism strategies (FSDP, tensor/pipeline parallelism), checkpointing patterns. - Document parameter tuning for different scales (e.g., "to train Llama 7B on 8xH100s, use this config and expect X throughput"). - Create and validate multi-node NCCL communication patterns on AI Factory K8s/Slurm clusters. - Design and build benchmarking suites: accuracy, latency, throughput (tokens/sec), cost per token, energy efficiency, MFU. - Implement offline evaluation harnesses for standardized model comparison and leaderboard tracking. - Conduct fine-tuning experiments (LoRA, QLoRA) where they improve product outcomes (e.g., ops domain data), document gains. - Create training efficiency playbooks and publish benchmark results so customers can optimize workloads. - Partner with job scheduling and orchestration engineers on template integration and other AI engineers and software engineers on model optimization trade-offs for inferencing and AI applications. Skills & Experience - 5-7 years of experience in distributed machine learning (PyTorch/JAX, FSDP, DeepSpeed, multi-node training at 10+ GPUs). - Expert-level understanding of GPU optimization: utilization, memory patterns, communication bottlenecks (NCCL collectives). - Hands-on
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TITLE: Staff Software Engineer, AI Platform
EMPLOYER: eBay Inc.
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ebay.wd5.myworkdayjobs.com/apply/job/Toronto/Staff-Software-Engineer--AI-Platform_R0073587/apply
EXCERPT: Staff Software Engineer, AI Platform Toronto, Ontario, Canada Join our team as a Senior Staff Software Engineer, AI Platform, and lead the design and delivery of scalable backend systems powering AI-driven workflows at scale. Drive architectural decisions, mentor engineers, and shape the future of platform engineering at eBay. Make a real impact in a collaborative, innovative environment.
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TITLE: Head of Commercialization
EMPLOYER: Speck
LOCATION: San Mateo, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-05
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/glance/jobs/7597443
EXCERPT: Head of Commercialization San Mateo, CA Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Head of Commercialization Location: Bay Area
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TITLE: Software Engineer, Workload Enablement
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States, Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/9efcef02-0515-4672-bace-81329944b38b
EXCERPT: Software Engineer, Workload Enablement San Francisco, California, United States, Seattle About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We're hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities - Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. - Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. - Deep-dive performance on distributed training/inference: - Collective performance and tuning (across NCCL/RCCL and internal libraries) - Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects - Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). - Partner with systems + fleet bring-up engineers to ensure
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TITLE: Manager II, Engineering - AI Platform Training, Serving and Storage
EMPLOYER: Datadog
LOCATION: Paris, France (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://careers.datadoghq.com/detail/7520030/?gh_jid=7520030
EXCERPT: Manager II, Engineering - AI Platform Training, Serving and Storage Paris, France The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . You'll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You'll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You'll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering
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TITLE: AI Tech Partner Lead
EMPLOYER: Amplitude, Inc.
LOCATION: Remote - USA (remote)
SALARY: $200K-$300K
POSTED: 2026-04-22
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/amplitude/jobs/8519031002
EXCERPT: AI Tech Partner Lead Remote - USA Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About the Role Amplitude is at an inflection point. AI is reshaping how every company builds and grows product, and the ecosystem of AI platforms, tools, and infrastructure companies is becoming as important to our go-to-market as our direct sales motion. We're looking for an AI Technology Partner Lead to own the strategy and execution of our most critical AI ecosystem partnerships - with companies like OpenAI, Anthropic, Google DeepMind, Mistral, Cohere, and the next generation of AI-native platforms being
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TITLE: Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI)
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-02
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/10382309/applied-scientist-ii-alexa-sensitive-content-intelligence-asci
EXCERPT: Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) Bellevue, Washington, USA The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create-from novel safety mechanisms to sophisticated evaluation techniques-shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This
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TITLE: Senior Partner Solutions Architect - Migration & AI Acceleration , Partner Solutions Architecture
EMPLOYER: Amazon
LOCATION: Bangkok, THA (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/10429117/senior-partner-solutions-architect-migration-ai-acceleration-partner-solutions-architecture
EXCERPT: Senior Partner Solutions Architect - Migration & AI Acceleration , Partner Solutions Architecture Bangkok, THA AWS is where innovation, risks, and ideas are celebrated. We are builders, we try new things, and imagine big dreams. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud technologies that enable our customers to adopt cloud-based solutions. THE ROLE You will collaborate with a diverse partner community-including distributors, traditional system integrators, born-in-cloud partners, and AI-native partners-alongside other AWS teams to build architectures, proof of concepts, and demonstrations of AWS services by working backwards from their customers' business needs to accelerate the adoption of appropriate AWS technology. A key focus of this role is accelerating both migration and AI transformation through partners. You will drive large-scale migration initiatives while simultaneously building and scaling an Agentic Platform that empowers partners to deliver AI-driven, autonomous solutions to their customers. You will help shape and design partner solutions covering a spread of domains from migration of core applications and workloads to working with GenAI, Agentic AI, AI/ML, microservices, containers, app development, IoT, and more. Being able to continuously expand your technological knowledge-particularly in migration methodologies and emerging agentic and autonomous AI capabilities-and having an interest in designing industry-applicable architectures that demonstrate business value are essential for this role. PARTNER COMMUNITY MANAGEMENT You will be responsible for managing and scaling relationships across multiple
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TITLE: Master Thesis Automated Generative AI Evaluation (f/m/x)
EMPLOYER: BMW
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://www.bmwgroup.jobs/job-invite/187445/?locale=en_US
EXCERPT: Master Thesis Automated Generative AI Evaluation (f/m/x) Location not specified THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. We, the BMW Group, focus on benchmarking Generative AI and applying the latest advances in machine learning, computer vision, natural language processing, and human interaction. Our team of experienced AI developers works at the crossroads of AI, specifically Generative AI, machine learning, linguistics, and general computer science to turn science fiction into reality with industrial applications. What awaits you? You will support the development of intelligent and innovative evaluation systems for our in-car LLM and VLM-based systems using generative AI. Furthermore, you help design test scenarios, performance metrics, and validation protocols to assess natural language understanding, multi-agent coordination, Model Context Protocol (MCP) principles, and multimodal context inputs including audio and vision. In addition, your ideas will become an integral part of our product and process portfolios. Moreover, you will contribute to close collaboration with suppliers and internal teams to exchange in
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TITLE: Manager, AI Success Engineers - San Francisco
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/f2376a07-ecfa-4ff9-9033-c9ee05532f4b
EXCERPT: Manager, AI Success Engineers - San Francisco San Francisco, California, United States About the Team The AI Success Engineering team turns breakthrough AI products into enterprise-scale impact. We partner closely with customers to move from experimentation to real-world transformation, owning adoption, technical readiness, and long-term value realization. The team accelerates delivery in production and shapes how OpenAI's products drive measurable business outcomes. We work cross-functionally with Sales, Solutions Architecture, Technical Success, and Product to bring frontier AI safely and successfully to market. About the Role We are seeking a senior technical leader to manage and scale a high-performing team of AI Success Engineers. This team owns post-sale technical success for ChatGPT Enterprise, driving customer onboarding, activation, and adoption through structured programs, enablement, and change-management playbooks. AI Success Engineers are deeply technical and hands-on, supporting customers with advanced capabilities including connectors, Codex, custom GPTs, and other frontier features as they are released. They partner closely with customer stakeholders to ensure solutions are deployed effectively, adopted broadly, and delivering real business impact. In this role, you will set team strategy, ensure strong execution and technical rigor, and build mechanisms that enable scale, consistency, and operational excellence-while staying close to customers and the field. This role is based in New York or San Francisco and follows a hybrid schedule of three days per week in office. Regional travel is expected. In This Role, You Will - Own the strategy and operating model for the AI Success Engineering team, ensuring alignment with OpenAI's objectives
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TITLE: Scaled Customer Success Manager, Japan
EMPLOYER: Notion
LOCATION: Tokyo, Japan, Tokyo, Japan (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/notion/70a048d5-802b-4aed-aa73-30afc34ca35a
EXCERPT: Scaled Customer Success Manager, Japan Tokyo, Japan, Tokyo, Japan Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role - Drive growth, adoption, retention, and expansion for a product people love that solves real problems : Fortune 500 companies use Notion to run huge teams - but your friends and family can also use it to take notes, display photos, and more. - Help customers achieve real results through AI-powered workflows: You'll partner with customers to identify their goals, then guide them through hands-on training and working sessions to build workflows that solve their specific problems-with AI at the center. - Own renewal execution grounded in proven value and outcomes :
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