# FewerJobs export - 100 curated jobs Generated: 2026-11-13T10:18:58.588Z Source: https://fewerjobs.com ## Filters 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**: 8 - **per_page**: 100 - **sort**: relevance ## Jobs ### Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) - Amazon - Location: Bellevue, Washington, USA (unspecified) - Salary: $143K-$193K - Posted: 2026-04-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: 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 ### Senior Partner Solutions Architect - Migration & AI Acceleration , Partner Solutions Architecture - Amazon - Location: Bangkok, THA (unspecified) - Salary: Not disclosed - Posted: 2026-05-25 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: 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 ### Master Thesis Automated Generative AI Evaluation (f/m/x) - BMW - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: 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 ### Manager, AI Success Engineers - San Francisco - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-02-18 - 401(k) match: listed (not source-backed) - Apply: 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 ### Scaled Customer Success Manager, Japan - Notion - Location: Tokyo, Japan, Tokyo, Japan (unspecified) - Salary: Not disclosed - Posted: 2026-03-18 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: 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 : ### Senior Machine Learning Engineer, AI Agent - Genies - Location: Genies San Francisco, San Francisco, California, U.S, Genies LA (unspecified) - Salary: $200K-$275K - Posted: 2026-03-18 - Apply: https://jobs.ashbyhq.com/genies/ae03b525-fe3e-4c81-9832-be6405e7fd0a - Excerpt: Senior Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems ### Senior Software Engineer, Applied AI - Aircall - Location: Seattle Office (unspecified) - Salary: Not disclosed - Posted: 2026-01-28 - Apply: https://jobs.lever.co/aircall/b6434eba-47c4-4e4d-99ed-dbf491a66849 - Excerpt: Senior Software Engineer, Applied AI 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. We are looking for a Senior Software Engineer to help build agentic systems that would automate workflows for different internal functional departments at Aircall. This role combines deep software ### Staff AI/ML Engineer - Edge AI System - Analog Devices - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132 - Excerpt: Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago ### Product Designer - AI Agents - Aircall - Location: San Francisco Office (unspecified) - Salary: Not disclosed - Posted: 2026-04-13 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/aircall/399ef97b-86e7-4454-9bdd-d3f3e03a1f8a - Excerpt: Product Designer - AI Agents San Francisco Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Want to know more about the team?Design at Aircall → What will this role do? We are looking for a proactive and creative problem solver to join our ### AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations - Amazon - Location: Gurugram, Haryana, IND (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10401840/ai-data-trainer-portuguese-operations-team-alexa-shopping-operations - Excerpt: AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. 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 shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation ### Senior AI Engineer - Yuno - Location: Hyderabad (onsite) - Salary: Not disclosed - Posted: 2026-04-15 - Apply: https://jobs.lever.co/yuno/11c53d1c-9bf0-41c7-8547-35ad174dacb2 - Excerpt: Senior AI Engineer Hyderabad Hyderabad, On-site, Full Time with 5+ years experince Who We Are Yuno is a leader in payment orchestration, building the infrastructure that powers frictionless, global transactions for modern businesses. Our mission is to simplify and revolutionize how payments move; enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust. We're entering a new chapter: infusing artificial intelligence across Yuno's products and internal operations. We aim to design intelligent systems that create exponential efficiency, enhance user experiences, and unlock new sources of revenue. Shape your future with Yuno! We are seeking a Senior AI Engineer to architect, build, and scale AI-powered systems that redefine how Yuno operates and innovates. This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount. You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. How Yuno will challenge you AI Product Architecture & Development • Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes. • Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale. • Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth. Operational Intelligence & ### Software Development Manager, Advertising Support Products and Services - Amazon - Location: New York, New York, USA (unspecified) - Salary: $203K-$275K - Posted: 2026-05-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10414888/software-development-manager-advertising-support-products-and-services - Excerpt: Software Development Manager, Advertising Support Products and Services New York, New York, USA Amazon Advertising's Support Products & Services (SP&S) team is building the AI-powered future of advertiser support at massive scale. We're not just answering questions - our AI agents execute multi-step agentic workflows, automate the majority of common customer support use cases, and are featured prominently in the Amazon Advertising console, serving millions of advertisers worldwide. As a Software Development Manager, you will lead a team of engineers in New York building products at the intersection of generative AI and customer experience - from AI agents that resolve advertiser cases autonomously, to intelligent tools that eliminate thousands of hours of manual work across campaign management, creative operations, and advertiser communications. You'll own your team's technical vision and roadmap, partner directly with scientists and product managers in a cross-functional organization, and drive engineering investments that meaningfully reduce operational costs at scale. This is a role for a builder who wants to shape how AI transforms customer service at Amazon's scale - leading a team of SDEs, setting technical direction, and delivering products that directly impact advertiser success and business efficiency. Key job responsibilities - Lead and grow a team of SDEs building AI-powered customer support products for Amazon Advertising - Own your team's technical vision, roadmap, and architecture - driving the 1-2 year strategy for how your systems evolve to meet advertiser needs - Design and deliver generative AI solutions using Amazon Bedrock, including agentic workflows that resolve advertiser ### Scaled Customer Success Manager, French - Notion - Location: Dublin, Ireland, Dublin, Ireland (unspecified) - Salary: EUR 89K-100K - Posted: 2026-04-29 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://jobs.ashbyhq.com/notion/7ac2e788-159b-411f-b998-36db2fcc1591 - Excerpt: Scaled Customer Success Manager, French 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 ### Large Machine Learning Model Optimization Engineer, SIML - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200626700/large-machine-learning-model-optimization-engineer-siml?team=SFTWR - Excerpt: Large Machine Learning Model Optimization Engineer, SIML Seattle, United States of America Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products. We focus on technology research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models. As a Machine Learning Engineer, you will have the opportunity to be at the forefront of technological advancements and contribute to the successful shipping and delivery of Apple intelligence. You will be responsible for implementing and delivering various optimization techniques that improve the performance of large language and diffusion models on devices. Additionally, you will collaborate with a diverse range of organizations within Apple. Your innovations will significantly impact the entire ML model lifecycle of Apple intelligence. We're looking for strong Machine Learning software engineers/leaders to drive the development of the on-device Apple Intelligence LLM and diffusion model developments. This includes defining and leading the execution of model compression, distillation, and integrating to the full Apple Intelligence user experiences. We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. We also encourage publishing novel research at top ML conferences. Minimum Qualifications: ### Principal Engineer - AI Data and Infrastructure, Remote - Aledade - Location: Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-05-26 - 401(k) match: 4% (not source-backed) - Apply: https://jobs.lever.co/aledade/e9636a60-5455-4a52-afed-eeadb50424cd - Excerpt: Principal Engineer - AI Data and Infrastructure, Remote Remote, United States As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered data ecosystem: from architecting the high-performance foundations of next-generation agentic data platforms to scaling our infrastructure for millions of users worldwide. Reporting to our SVP of Engineering, you will partner with product and engineering leadership to translate technical strategy into business impact. You'll set the direction for a unified data platform designed for an AI-first future, guiding dozens of engineering teams to bridge the gap between raw data and actionable AI. This role blends high-level architectural influence with hands-on code contributions, building systems from conception through global scale that are both innovative and production-ready. You will tackle complex problems in data orchestration, low-latency processing, and developer velocity, delivering the foundational capabilities that will accelerate company-wide innovation and define our next chapter. As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered data ecosystem: from architecting the high-performance foundations of next-generation agentic data platforms to scaling our infrastructure for millions of users worldwide. Reporting to our SVP of Engineering, you will partner with product and engineering leadership to translate technical strategy into business impact. You'll set the direction for a unified data platform designed for an AI-first future, guiding dozens of engineering teams to bridge the gap between raw data and actionable AI. This role blends high-level architectural influence with ### AIML - Machine Learning Engineer, Foundation Models - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-09-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200618377/aiml-machine-learning-engineer-foundation-models?team=MLAI - Excerpt: AIML - Machine Learning Engineer, Foundation Models Cupertino, United States of America Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team. Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains Collaborate with other teams to productionize state-of-the-art AI algorithms Optimize models for performance, efficiency, and on-device intelligence Implement machine learning systems with stringent privacy and security requirements May also be required to manage a small team of engineers. ### Manager, AI Success Engineers - NYC - OpenAI - Location: New York City, New York, United States (unspecified) - Salary: Not disclosed - Posted: 2025-11-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/227ea1b3-6fc4-44ca-93db-d59373121180 - Excerpt: Manager, AI Success Engineers - NYC New York City, New York, 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 ### AI Engineer - Siemens Energy - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.siemens-energy.com/en_US/jobs/FolderDetail?folderId=291491&from=home - Excerpt: AI Engineer ### Scaled Customer Success Manager, Spanish - Notion - Location: Dublin, Ireland, Dublin, Ireland (unspecified) - Salary: EUR 89K-100K - Posted: 2026-05-14 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://jobs.ashbyhq.com/notion/a711f964-014a-4c5c-bfa4-a300ef7d96fd - Excerpt: Scaled Customer Success Manager, Spanish 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 ### Mathematics Specialist (Fluent in Italian) - Freelance AI Trainer Project - Agency - Location: Italy (unspecified) - Salary: $65-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4606995101 - Excerpt: Mathematics Specialist (Fluent in Italian) - Freelance AI Trainer Project Italy Are you a mathematics expert fluent in Italian, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics 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 mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics 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 $6-to‑$65 per hour, with the ### Principal Engineer, AI Infrastructure (R4941) - Shield AI - Location: San Francisco, California (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/shieldai/0034444c-c0c4-4884-a49f-b921bd661b03 - Excerpt: Principal Engineer, AI Infrastructure (R4941) San Francisco, California Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds autonomy systems for defense applications, including air, maritime, and space platforms operating in complex and contested environments. We are establishing a centralized AI and Data Platform organization responsible for the infrastructure that underpins autonomy development across Hivemind and other programs. This team owns the systems used to train models, run simulation, manage data, and deploy models to operational environments. We are seeking a Principal Engineer that will scale an initial architecture into a platform that supports multiple autonomy programs. Success in this role requires disciplined execution, delivering fast iteration for engineering teams while maintaining reliability, cost control, and architectural consistency as the system scales. The Principal Engineer is accountable for ensuring engineers can move efficiently from idea to trained model to deployed capability, and that infrastructure decisions reflect the realities of the domain, including simulation-driven development, continuously evolving multi-modal sensor data, and deployment to constrained and reliability-critical systems. This role spans the full lifecycle of autonomy development, training foundation models, running large-scale and multi-fidelity simulation, managing training data, evaluating models, ### Welsh Audio Specialist - Freelance AI Trainer Project - Agency - Location: World Wide - Remote (remote) - Salary: $6-$65/hr - Posted: 2026-06-12 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4896017101 - Excerpt: Welsh 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 ### Program Manager, Customer Experience and Insights Team - Amazon - Location: Hawthorne, California, USA (unspecified) - Salary: $74K-$130K - Posted: 2026-05-06 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10412060/program-manager-customer-experience-and-insights-team - Excerpt: Program Manager, Customer Experience and Insights Team Hawthorne, California, USA The Ring and Blink teams are making neighborhoods safer with innovative security products and services - from the Doorbells and Cameras to endless features accessed in the App's. The Ring and Blink Customer Support teams help bring this mission to life every day by supporting our neighbors at every point in their journey with us. The Customer Experience & Insights Team (CEIT) is pioneering AI-driven customer experience transformation. We leverage artificial intelligence, machine learning, and automation to identify and resolve root causes of customer contacts at scale - from purchase and first product setup, to subscribing to a Protect Plan, and everything in between. By combining AI-powered insights with strategic execution, CEIT drives meaningful improvements that reduce friction and elevate the overall customer experience. As a Program Manager on CEIT, you will be an AI-forward practitioner who sits at the intersection of artificial intelligence, customer insights, and cross-functional execution. This role is responsible for designing and driving resolution of customer contact drivers and pain points through AI-powered data intelligence, machine learning-assisted workflows, scalable automation frameworks, and strategic stakeholder management. You will leverage generative AI tools daily to accelerate decision-making, surface hidden patterns in customer data, and build intelligent workflows that scale across the organization. Your tactical execution and AI-enabled cross-functional collaboration will directly impact Ring and Blink's ability to deliver an exceptional customer experience - at scale. Key job responsibilities AI Strategy & Innovation: Leverage generative AI tools (Amazon Quick ### AI Trainer - Taiwan - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4671676101 - Excerpt: AI Trainer - Taiwan Remote AI Trainer - Taiwan 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 Taiwan 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 ### AIML - Machine Learning Engineer, MIND - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651341/aiml-machine-learning-engineer-mind?team=MLAI - Excerpt: AIML - Machine Learning Engineer, MIND Seattle, United States of America As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation Minimum Qualifications: Proficient in Python and deep learning frameworks like PyTorch. Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent ### Payroll, Global Payroll & Compliance Manager - Snorkel AI - Location: Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) (hybrid) - Salary: Not disclosed - Posted: 2026-06-05 - Relocation assistance: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/6015781004 - Excerpt: Payroll, Global Payroll & Compliance Manager Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Payroll, Global Payroll & Compliance Manager Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and ### Sr. GTM Specialist, Sales Workflows GTM - Amazon - Location: Arlington, Virginia, USA (unspecified) - Salary: $148K-$200K - Posted: 2026-05-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10424505/sr-gtm-specialist-sales-workflows-gtm - Excerpt: Sr. GTM Specialist, Sales Workflows GTM Arlington, Virginia, USA The Workflows Go-To-Market (WGTM) team partners with Ads Sales leadership and Tech/Science organizations to drive seller efficiency through intuitive workflow design and through scaled adoption of AI-powered Sales tools. The team focuses on Sales workflow expertise, positioning of AI capabilities in the workflows, scaled enablement mechanisms, and comprehensive feedback collection to increase seller productivity and revenue impact across global Ads Sales organizations. We are seeking a Sr. GTM Specialist to drive adoption of tools and AI capabilities within seller workflows across global Ads Sales teams. This role owns end-to-end workflow optimization, from mapping seller processes and identifying efficiency opportunities to building compelling positioning, executing scaled enablement programs, and synthesizing feedback into actionable product requirements. The ideal candidate combines deep Sales domain expertise with data-driven project management capabilities. You'll partner with Sales leadership, Tech, and Science organizations to increase seller productivity through AI-powered workflows, directly impacting how 3,000+ global sellers work daily with measurable revenue and productivity impact. This role rewards entrepreneurial thinking, flexibility, detail-orientation, focused prioritization, enthusiasm, and comfort working across continents and time zones. Key job responsibilities 1. Map and optimize end-to-end seller workflows: Analyze seller workflows to identify efficiency opportunities, recommend AI capabilities, and inform Tech and Science teams' requirements. 2. Build cohesive messaging: Create unified positioning for tools and AI capabilities within complete seller workflows, translating technical capabilities into clear productivity and revenue benefits that resonate with global Ads sales teams. 3. Design and execute scaled enablement programs: ### Senior Machine Learning Engineer - Taskrabbit - Location: San Francisco, California, United States (unspecified) - Salary: $150K-$200K - Posted: 2025-12-05 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/taskrabbit/jobs/7430424 - Excerpt: Senior Machine Learning Engineer San Francisco, California, United States About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In - Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate ### Performance Engineer - Cerebras Systems - Location: Toronto, Ontario, Canada (unspecified) - Salary: Not disclosed - Posted: 2025-09-08 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7112048003 - Excerpt: Performance Engineer 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. About The Role Join Cerebras as a Performance Engineer within our innovative Runtime Team. Our groundbreaking CS-3 system, hosted by a distributed set of modern and powerful x86 machines, has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role will challenge and expand your expertise in optimizing AI applications and managing computational workloads primarily on the x86 architecture that run our Runtime driver. Responsibilities - Focus on CPU ### Machine Learning Engineer - Perception - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2025-07-09 - Apply: https://jobs.lever.co/zoox/50b011cc-1023-4d9a-b8be-c938e2c12f13 - Excerpt: Machine Learning Engineer - Perception Foster City, CA The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. In this role, you will: - Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context - Understand and curate real and synthetic datasets to improve our models - Perform latency optimization and deploy models to our robot fleet - Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work - Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex ### Sr. Software Development Manager, MHLS Tech - Amazon - Location: Dallas, Texas, USA (unspecified) - Salary: $220K-$298K - Posted: 2026-04-16 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10393908/sr-software-development-manager-mhls-tech - Excerpt: Sr. Software Development Manager, MHLS Tech Dallas, Texas, USA Ready to transform how millions of Amazonians experience HR support at organizational scale? Apply now and join us in building the future of employee experience technology across Amazon's global workforce. We are seeking an Sr. Software Development Manager to lead multiple engineering teams and drive the strategic technical vision for Amazon's employee support platform. In this high-impact leadership role, you will own the end-to-end technical strategy and organizational development for engineers building AI-powered conversational systems, knowledge management platforms, and intelligent routing solutions that serve millions of employees daily across 200+ countries. This is a unique opportunity to operate at the intersection of leading-edge generative AI, large-scale distributed systems, and human-centered design, solving complex problems that affect every Amazonian's daily work life while building and mentoring a multi-team engineering organization. You'll lead multiple teams of talented engineers building systems that don't just respond to employee questions but anticipate needs, learn from interactions, and continuously improve the employee experience at Amazon scale. Organizational impact: • Lead engineers across multiple teams, shaping the technical culture and engineering excellence standards for the entire My HR Live Support (MHLS) platform • Strategic influence: Drive 3-year architectural roadmaps and influence technology decisions across PXT and HR Experience and Tech organizations • Massive scale and complexity: Your systems will serve 1.8M+ Amazonians across 200+ countries with 99.99% uptime requirements • AI innovation leadership: Define the AI/ML strategy for production generative AI systems using Amazon Bedrock, LLMs, and agentic ### AI Data Associate (NL), Artificial General Intelligence Data Services - Amazon - Location: The Hague, South Holland, NLD (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10418257/ai-data-associate-nl-artificial-general-intelligence-data-services - Excerpt: AI Data Associate (NL), 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, and ### Infrastructure Hardware Technical Program Manager (Server and Network Systems) - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-02-19 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7636808003 - Excerpt: Infrastructure Hardware Technical Program Manager (Server and Network Systems) Sunnyvale CA or Toronto 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. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3-based AI clusters - from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. This role is intentionally technical: you must understand server, network, and ### Machine Learning Engineer 5 - Decisioning & Optimization - Netflix - Location: New York,New York,United States of America | Seattle,Washington,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America (unspecified) - Salary: $466K-$750K - Posted: 2026-06-02 - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://explore.jobs.netflix.net/careers/job/790302428910?microsite=netflix.com - Excerpt: Machine Learning Engineer 5 - Decisioning & Optimization New York,New York,United States of America | Seattle,Washington,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Decisioning & Optimization engineering team owns the systems that determine which ad wins every impression, at what price, and how campaign budgets deliver across all inventory surfaces. Our work spans three platform areas: ML infrastructure for model serving : real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction, ranking, and scoring : multi-stage candidate selection, scoring, bid valuation, dynamic pricing, and podding Budget, pacing, and bidding : control systems for delivery optimization, budget planning, and bid computation We are scaling from a handful of production models to 10+ while maintaining sub-20ms P99 ### Compute Server Platform Architect - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-02-18 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7635821003 - Excerpt: Compute Server Platform Architect Sunnyvale CA or Toronto 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. About The Role As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will ### (Senior) Researcher (f/m/d) - Knowledge Graphs and Generative AI - SAP - Location: Region Europe | Country Germany | Internal Posting Location Garching (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.sap.com/job/Garching-bei-M%C3%BCnchen-%28Senior%29-Researcher-%28fmd%29-Knowledge-Graphs-and-Generative-AI-85748/1274749901/ - Excerpt: (Senior) Researcher (f/m/d) - Knowledge Graphs and Generative AI Region Europe | Country Germany | Internal Posting Location Garching 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. What you`ll do At SAP, we're integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Agentic AI based on Large Language Models (LLMs) is transforming how users interact with their business applications. Still, the understanding of structured and unstructured business data such as business data models, business process metadata and documentation is limited in pre-trained LLMs, challenging using agents at scale and for complex tasks. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers. The Role: Contribute pioneering technical advances to the combination ### Performance & Reliability Engineer - Cerebras Systems - Location: Sunnyvale, CA; Toronto, Ontario, Canada (unspecified) - Salary: Not disclosed - Posted: 2025-11-25 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7528266003 - Excerpt: Performance & Reliability Engineer 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. About The Role Join Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware. Responsibilities - Characterize and enhance the performance and reliability of advanced ML hardware/software ### Member of Technical Staff (ML) - Reka AI - Location: US, UK, Remote (remote) - Salary: Not disclosed - Posted: 2023-08-01 - Apply: https://jobs.ashbyhq.com/reka/731e2ebc-2e66-458a-9962-0bc880016941 - Excerpt: Member of Technical Staff (ML) US, UK, Remote As a Member of Technical Staff on Machine Learning, you will: - Contribute to the entire development cycle of our cutting-edge large deep learning models. - Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products. - Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications. - Join us at an exciting moment, wear many hats and help us build something from the ground up! You may be a good fit, if you have: - Experience with training and evaluating large deep learning models. - Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX). - Proven track record of applying and implementing machine learning algorithms into software applications at scale. - The ability to build in a fast-paced environment under some uncertainty. - A kind and collaborative nature and work style. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Why Reka? - An Elite Team : Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge ### Staff AI/ML Engineer - Sigma Computing - Location: New York City, NY (unspecified) - Salary: $240K-$270K - Posted: 2026-06-09 - Apply: https://job-boards.greenhouse.io/sigmacomputing/jobs/7767733003 - Excerpt: Staff 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 ### Lead AI Engineer - Infineon Technologies - Location: Bangalore (India) (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://infineon.eightfold.ai/careers/job/563808970463991 - Excerpt: Lead AI Engineer Bangalore (India) ### Director Program & Ops AI Transformation - eBay Inc. - Location: San Jose, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://ebay.wd5.myworkdayjobs.com/apply/job/San-Jose/Director-Program---Ops-AI-Transformation_R0074110/apply - Excerpt: Director Program & Ops AI Transformation San Jose, California, United States of America Join our team as Director, Program & Operations AI Transformation and lead the design and execution of AI-driven operational strategies at eBay. Drive cross-functional transformation, automate workflows, and partner with senior leaders to scale impactful AI initiatives. Shape the future of ecommerce with innovative, AI-first programs and make a measurable difference across the organization. ### Mission Software Engineer, Public Sector - Scale AI - Location: Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC (onsite) - Salary: $166K-$263K - Posted: 2024-10-09 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4481921005 - Excerpt: Mission Software Engineer, Public Sector Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: - Work directly with customers to understand their problems and translate those into features in Scale's platform. - Be open to >50% travel or relocation to a key customer geographic location. - Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. - Implement end-to-end data integrations, syncing customer's data to Scale's platform and back - Deploy and maintain Scale software at customer sites - Develop customer requested features and work closely with them to ensure that they win customer love. - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - This role will require an active TS/SCI security clearance or the ability to obtain a security ### Senior AI Engineer - AI Platform - ClickUp - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/clickup/04f5dc76-f4d1-4112-9cff-79d3c202c8a6 - Excerpt: Senior 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 skilled and experienced Senior 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) ### AI Trainer - Medical Doctors (EST) - Prolific - Location: Remote (remote) - Salary: $80-$150/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4763497101 - Excerpt: AI Trainer - Medical Doctors (EST) Remote AI Trainer - Medical Doctors 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 Medical Doctors 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 $80-$150p/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 medical doctor (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 ### Staff HR Business Partner - Snorkel AI - Location: San Francisco, CA (Hybrid) (hybrid) - Salary: Not disclosed - Posted: 2026-05-28 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/6008612004 - Excerpt: Staff HR Business Partner San Francisco, CA (Hybrid) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Staff HR Business Partner San Francisco, CA | Hybrid (3 days/week in office) About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. The DaaS org is a delivery-first team that has more than tripled in size over the last six months, with no signs of slowing. They deliver high-quality data operations and AI deployment outcomes for frontier labs and AI teams. This org has a unique composition: forward deployed engineers, technical and operations delivery managers, a supply team managing a workforce comprised of multiple worker types at scale, and others. The people challenges ### AI Training Specialist - South UK - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4763309101 - Excerpt: AI Training Specialist - South UK Remote AI Training Specialists 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 Training Experts to help train and evaluate cutting-edge AI models. 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 participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay upto of £25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. If that sounds like something that matches your skills, please complete our registration via this link. What you'll bring AI Training task skills and verifiable professional experience as an AI Trainer A willingness to take our skills verification test to assess your suitability for our 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 ### Partner Marketing Lead - Mistral AI - Location: Paris (unspecified) - Salary: Not disclosed - Posted: 2026-01-20 - Apply: https://jobs.lever.co/mistral/e97be5bf-6ee6-41d6-8a48-6626e9718ca6 - Excerpt: Partner Marketing Lead Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, Studio, Forge, Vibe and Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary As our first Partner Marketing Lead, you will define and execute the global partner marketing strategy for a company at the forefront of the enterprise AI ecosystem. You will own how we position, activate, and scale partnerships across ISVs, SIs, and cloud alliances. Your mission is to establish and scale a world-class partner marketing engine, bridging infrastructure partners, ISVs, and open AI communities to drive joint GTM success and measurable revenue impact. This is a unique opportunity to join a high-growth company at the forefront of AI innovation, where your work will directly impact our market position and revenue growth. You'll collaborate with world-class AI science, product, engineering, and ### AI Engineer - Maxlinear Inc - Location: Irvine, CA, US (unspecified) - Salary: $75K-$102K - Posted: 2026-06-10 - Apply: https://careersus-maxlinear.icims.com/jobs/3037/ai-engineer/job - Excerpt: AI Engineer Irvine, CA, US Responsibilities MaxLinear is seeking a highly motivated Artificial Intelligence Engineer to evaluate and integrate cutting-edge AI technologies into the semiconductor engineering workflows. This role sits at the intersection of AI innovation, engineering productivity, and enterprise-scale deployment, helping shape how modern AI systems are operationalized across teams. You will play a critical role in identifying high-impact use cases, benchmarking AI platforms, and delivering scalable, secure solutions that drive measurable business value. In this role, you will focus on the following: Evaluate AI platforms and large language models (LLMs), including GPT, Claude, Gemini, and SWE-class systems Contribute to the design and execution of benchmarks to measure quality of results (QoR), productivity gains, and scalability Identify strengths, limitations, and optimal use cases across AI tools and architectures Partner with cross-functional teams to deploy solutions across multiple domains Validate and implement AI-driven solutions within real-world semiconductor engineering workflows Partner with engineering to translate engineering use cases into production-ready AI capabilities Partner with internal teams to develop and analyze ROI and cost-performance tradeoffs across cloud and on-prem deployment models Provide data-driven recommendations on AI platform selection and scaling strategies Optimize resource utilization for maximum business impact Design and support LLM deployments ### Forward Deployed AI Engineer - Palantir Technologies - Location: New York, NY (unspecified) - Salary: $135K-$200K - Posted: 2024-03-22 - Fertility benefits: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Apply: https://jobs.lever.co/palantir/636fc05c-d348-4a06-be51-597cb9e07488 - Excerpt: Forward Deployed AI Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place - with the best colleagues - to learn how! The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily ### AI Value Catalyst Lead - Roche Holding AG - Location: Shanghai, Shanghai, China's Mainland (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - Apply: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Shanghai/AI-Value-Catalyst-Lead_202605-112394/apply - Excerpt: AI Value Catalyst Lead Shanghai, Shanghai, China's Mainland Exciting opportunity for an AI Value Catalyst Lead and drive the strategic scaling and value acceleration of AI and digital healthcare solutions. Lead a high-performing team, shape ecosystem innovation, and influence healthcare transformation at Roche. Make a global impact by accelerating digital healthcare adoption and building sustainable partnerships. ### Machine Learning Engineer, Agentic AI - Trulia - Location: Remote-USA (remote) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://zillow.wd5.myworkdayjobs.com/Zillow_Group_External/job/Remote-USA/Machine-Learning-Engineer--Agentic-AI_P749437-2 - Excerpt: Machine Learning Engineer, Agentic AI Remote-USA posted: Posted 30+ Days Ago ### French Audio Evaluations Specialist - Freelance AI Trainer Project - Agency - Location: World Wide - Remote (remote) - Salary: $6-$65/hr - Posted: 2026-06-12 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4896011101 - Excerpt: French 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 ### Principal Solutions Engineer, Enterprise - Scale AI - Location: New York, NY; San Francisco, CA (unspecified) - Salary: $180K-$225K - Posted: 2026-04-28 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4689909005 - Excerpt: Principal Solutions Engineer, Enterprise New York, NY; San Francisco, CA Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines-shaping how the world's most innovative companies adopt, deploy, and scale AI with Scale. Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization. You will: - Own technical strategy and execution for the company's most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win” - Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies - Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements - Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges - Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions - Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops - Influence Scale's product roadmap by synthesizing customer insights and advocating for high-leverage feature development - Mentor and ### Machine Learning Engineer - Visual Agents - Special Projects - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $127K-$221K - Posted: 2026-04-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200657911/machine-learning-engineer-visual-agents-special-projects?team=MLAI - Excerpt: Machine Learning Engineer - Visual Agents - Special Projects Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI. Build and evaluate vision-language agents that perceive real-world scenes and incorporate that context into conversational models Curate, annotate, and build multimodal datasets to support model training and evaluation Develop automated evaluation pipelines including LLM-as-judge frameworks, human evaluation protocols, and domain-specific benchmarks Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Design controlled experiments to measure model capabilities, ### Sr. Principal Product Marketer - Leo - Astera Labs - Location: San Jose, California, United States (unspecified) - Salary: $180K-$250K - Posted: 2026-01-14 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4646965005 - Excerpt: Sr. Principal Product Marketer - Leo 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 . Role Overview Astera Labs is seeking a Senior Principal, Product Marketing to serve as the strategic marketing leader for our Leo Smart Memory Extender product line - the industry's most advanced CXL-based solution enabling memory expansion and disaggregation for AI and cloud infrastructure at rack scale. This is a senior individual contributor role with outsized influence, where you'll define how the market understands, evaluates, and adopts CXL memory technology. As AI models scale to hundreds of billions of parameters and memory capacity becomes the defining bottleneck in modern data centers, Leo is uniquely positioned to unlock new levels of performance and efficiency. In this role, you'll operate as the authoritative voice of the Leo product line - shaping narratives that influence hyperscaler architecture decisions, driving industry thought leadership, and partnering with Astera Labs' most senior technical and business leaders to accelerate market creation. This is a ### Director, Product Management - AI Observability - Datadog - Location: New York, New York, USA (unspecified) - Salary: $300K-$385K - Posted: 2026-04-09 - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://careers.datadoghq.com/detail/7798672/?gh_jid=7798672 - Excerpt: Director, Product Management - AI Observability New York, New York, USA Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We're looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog's leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products ### Senior Data Scientist, Machine Learning Engineer - Shelf - Location: Poland; Lviv, Ukraine; Europe (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://shelf.io/careers/listing/?gh_jid=5668970004 - Excerpt: Senior Data Scientist, Machine Learning Engineer Poland; Lviv, Ukraine; Europe About Shelf The enterprise is going agentic - but most AI agents fail when they hit real business complexity. Shelf is changing that. We've built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don't just respond - they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale. Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20-25%, and turn hours-long processes into seconds. We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach. If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you're in the right place. Our mission is to empower humanity with better answers everywhere. Summary The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features-from problem framing and experimentation to service deployment, and ongoing operations-quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso. ### Senior Platform Engineer, Handshake AI Enterprise - Handshake - Location: San Francisco, CA, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-04 - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Mental health support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/handshake/51e41714-89e7-46a9-a242-6ca5ef2242b5 - Excerpt: Senior Platform 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 ### Staff Machine Learning Engineer, Ads Measurement Modeling - Reddit, Inc. - Location: Remote - United States (remote) - Salary: $230K-$322K - Posted: 2026-05-04 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/reddit/jobs/7890096 - Excerpt: Staff Machine Learning Engineer, Ads Measurement Modeling Remote - United States Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible first workforce! The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. The Measurement Modeling team owns all the Machine Learning solutions for Ads Measurement, including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and new Measurement Modeling Initiative. As critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations. We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology. Our diverse ### Director, AI Forward Deployed Engineering (FDE) - Databricks - Location: United States (unspecified) - Salary: $262K-$360K - Posted: 2026-04-21 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8515642002 - Excerpt: Director, AI Forward Deployed Engineering (FDE) United States CSQ427R87 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI Product, Research, and Engineering. We are looking for a world-class Director to lead and grow our AI FDE team. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to the AI FDE Global Leader. This role can be remote in the US with occasional travel required. The impact you will have: - Lead and scale a world-class AI professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale - Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations - Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions - Lead strategic AI initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team - Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights ### AI Platform Security Engineer Hybrid - Cisco - Location: 2 Locations (hybrid) - Salary: $128K-$172K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/AI-Platform-Security-Engineer-Hybrid_2010084-1 - Excerpt: AI Platform Security Engineer Hybrid 2 Locations The application window is expected to close on: 05/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position. Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security -partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and implement secure cloud architectures that enable enterprise-scale Generative AI platforms and services. Establish security guardrails, IAM strategies, and network controls to ensure AI workloads are deployed safely and compliantly. Embed security controls into CI/CD pipelines and infrastructure-as-code workflows to proactively reduce cloud misconfiguration risk. Lead threat modeling and risk assessments for AI systems to protect sensitive data, models, and inference endpoints. Partner with AI engineers, platform teams, and GRC stakeholders to operationalize security standards that enable innovation while reducing risk. Success in this role means delivering scalable cloud security patterns that ### Applied AI Engineer (Member of Technical Staff) - Cogent Communications Holdings INC - Location: San Francisco, CA (unspecified) - Salary: $100K-$300K - Posted: 2024-11-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/cogent-security/8762ddb1-fad6-40e0-90a9-c239d1cbdb17 - Excerpt: Applied AI Engineer (Member of Technical Staff) San Francisco, CA About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase World class cybersecurity experts from Wiz, Abnormal AI, Zscaler Preeminent research labs like Deepmind and SAIL About the Role As we onboard our first design partners, Cogent is launching the world's first AI cyber taskforce, which is composed of AI agents capable of human-caliber reasoning for cybersecurity tasks. We are looking for talented, ambitious AI/ML Engineers who are excited to build in the Applied AI space. What You'll Do & Achieve Architect and launch the world's first AI Cyber ### AI Data Trainer (Arabic), Alexa Shopping Operations - Amazon - Location: Gurugram, Haryana, IND (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10443291/ai-data-trainer-arabic-alexa-shopping-operations - Excerpt: AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. 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 shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About ### Staff Product Manager- AI Platform - Invoca - Location: Remote - US & Canada (see posting for locations) (remote) - Salary: $140K-$208K - Posted: 2026-06-07 - Parental leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://www.invoca.com/company/job-listings/?gh_jid=8440860002 - Excerpt: Staff Product Manager- AI Platform Remote - US & Canada (see posting for locations) Staff Product Manager, AI PlatformThe Opportunity: Define the Future of Agentic AI in the Enterprise Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. By revealing intent across voice, SMS, and digital channels, Invoca helps enterprises drive better customer experiences, increase revenue, and operate with confidence at scale. We are a fast-growing company defined by a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Join us to build the core intelligence layer for one of the most innovative enterprise platforms in the market.Build the Foundation for Agentic AI at Scale Invoca is building a shared AI Platform that powers every AI-driven product and every agentic experience we continue to deliver. This foundational platform is the execution layer behind Voice AI, SMS Agents, Signals, Scoring, and emerging copilots. This is a rare and critical opportunity to define how agentic AI actually runs in production inside an enterprise SaaS company. You will own the execution layer-from orchestration and context to governance, evaluation, and developer experience. Your work will determine not just what Invoca's AI can do, but how safely, consistently, and efficiently it does it at scale.The AI Platform Team The AI Platform team builds ### Machine Learning Engineer - Physicsx - Location: New York, United States (unspecified) - Salary: $150K-$190K - Posted: 2026-04-23 - Apply: https://job-boards.eu.greenhouse.io/physicsx/jobs/4849382101 - Excerpt: Machine Learning Engineer New York, United States About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 2 years industry experience (post ### Researcher, Agent Post-Training, API & Power-Users - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/a68045e3-1fa1-4dd1-8ef4-e87fac2416eb - Excerpt: Researcher, Agent Post-Training, API & Power-Users San Francisco, California, United States About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch. This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool ### Applied Scientist, Trust CX Innovations&AI Policy - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-04-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10404195/applied-scientist-trust-cx-innovations-ai-policy - Excerpt: Applied Scientist, Trust CX Innovations&AI Policy Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+. As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. Key job responsibilities - Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities - Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning - Pioneer new methods for AI safety, alignment, and responsible AI development - Design and execute sophisticated experiments to evaluate model performance and behavior - Lead the development of production-ready AI solutions that scale efficiently - Collaborate with product teams to translate research innovations into practical applications - Guide engineering teams in implementing AI models and systems at scale - Author technical papers for top-tier conferences - File patents for novel AI technologies and applications A day in the life You will be working with a group of talented scientists on researching ### Evaluation & Insights Machine Learning Engineer - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-09 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200649810/evaluation-insights-machine-learning-engineer?team=SFTWR - Excerpt: Evaluation & Insights Machine Learning Engineer Seattle, United States of America Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Products. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. We are looking for an Evaluation & Insights Engineer for the Human-Centered AI team to help evaluate and improve AI systems by combining data science, model behavior analysis, and qualitative insights. In this role, you will analyze AI outputs, develop evaluation frameworks, design qualitative, and translate findings into actionable improvements for product and engineering teams. This role blends deep technical expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross-functionally with the Engineering and Project Managers, Product, and Research teams to ensure that AI experience is reliable, safe, and aligned with human expectations. Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi-step reasoning, factuality, adversarial robustness, safety, and alignment. Advanced Scoring ### Operations Manager - Enterprise AI Solutions - Snorkel AI - Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); United States (Remote) (hybrid) - Salary: Not disclosed - Posted: 2026-05-22 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/6004431004 - Excerpt: Operations Manager - Enterprise AI Solutions New York City, NY (Hybrid); Redwood City, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role As an Operations Manager at Snorkel AI, you will own the operational backbone of our Solutions AI delivery organization. You will be accountable for putting the right people on the right work, maintaining clear visibility into execution and financial performance, and driving alignment across pipeline, staffing, delivery, and revenue. You will build the systems, processes, and operating rigor required to scale a high-performing Professional Services organization. Main Responsibilities - Own capacity planning and staffing for the Solutions AI Engineers in Float, aligning resources to projects based on skills, priority, and availability - Build and maintain capacity and ### Applied AI Researcher, System Self-Improvement - Distyl AI - Location: San Francisco, California, USA, New York (unspecified) - Salary: $150K-$250K - Posted: 2025-10-16 - Apply: https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03 - Excerpt: Applied AI Researcher, System Self-Improvement San Francisco, California, USA, New York About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We Are Looking For At Distyl we're pushing the envelope of AI utilization in enterprise. This requires creative researchers who don't just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a ### Senior Software Engineer, Handshake AI Enterprise - Handshake - Location: San Francisco, CA, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-04 - Apply: https://jobs.ashbyhq.com/handshake/32f0d53c-5808-4b12-84ac-60e2bb9dd7ae - Excerpt: Senior Software 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 ### Forward Deployed Engineer, Handshake AI Enterprise - Handshake - Location: San Francisco, CA, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Mental health support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/handshake/c91b7ebf-2c69-4d91-809d-a30ea0b9dc18 - Excerpt: Forward Deployed 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 ### Senior Software Engineer, AI and Automation - Okta, Inc. - Location: Bengaluru, India (unspecified) - Salary: Not disclosed - Posted: 2026-01-05 - 401(k) match: listed (not source-backed) - Apply: https://www.okta.com/company/careers/opportunity/7486638?gh_jid=7486638 - Excerpt: Senior Software Engineer, AI and Automation Bengaluru, India 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. At Okta, we're building the future of secure, enterprise-grade AI . We're looking for a Senior AI Engineer to help design and scale our Agentic AI Platform - the foundation that enables enterprise teams to build, deploy, and manage intelligent AI agents securely and at scale. As part of a global AI engineering team spanning the US and India, you'll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta. What you will do: - Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails. - Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency. - Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents. - Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready . - Partner with Applied AI engineers, product ### AI Training - Lawyers (UK) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4749005101 - Excerpt: AI Training - Lawyers (UK) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Lawyers 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 Trainer - Lawyers to help train and evaluate cutting-edge AI models using real legal expertise. 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 participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £10 0/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 AI Training task skills and verifiable professional experience as a qualified Lawyer (e.g., practicing solicitor/attorney, barrister, in-house counsel, paralegal with significant legal experience) A willingness to take our skills verification test to assess your suitability for our 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, ### Forward Deployed Engineer - AI Solutions Engineering - Aircall - Location: New York Office (unspecified) - Salary: $170K-$170K - Posted: 2025-11-26 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/aircall/4965256f-b814-46a5-b6f6-e83bec714120 - Excerpt: Forward Deployed Engineer - AI Solutions Engineering New York 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 Team Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production - delivering automation ### AIML - Sr Machine Learning Engineer, Evaluation - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200668113/aiml-sr-machine-learning-engineer-evaluation?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer, Evaluation Cupertino, United States of America We are seeking a highly skilled and experienced machine learning engineer to join AIML Evaluation to build the systems that evaluate and refine Apple's foundation models and agents. As a key member of the team, you will help design and develop benchmarks, evaluators, simulation environments, and prompt and context optimization pipelines that drive quality improvements across Apple's AI experiences. You will collaborate with product teams and the foundation model team to close the loop between observation and improvement, contributing datasets, environments, and reward signals that drive model and agent quality. Our team builds the benchmarks, environments, and tooling that power model and agent refinement, and turns observations into actionable opportunities for the next model and agent iteration. We work across the full spectrum of evaluation: offline benchmarks, device-in-the-loop simulation, and on-device observation in production. We develop LLM-as-judge evaluators, train reward models calibrated against human feedback, optimize prompts and context for agents, and contribute targeted datasets and reward signals to foundation model post-training. In this role, you will play a crucial role in designing and developing evaluation and refinement infrastructure that supports a broad range of AI products at Apple. You will work on agent and model evaluation across offline, device-in-the-loop, and on-device settings; build automated prompt and context optimization pipelines; and partner with product and research teams to translate failure analysis into measurable model and agent improvements. You will also have the opportunity to engage with product teams ### Sr. Applied Science Manager, Stores Economics and Sciences - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $219K-$296K - Posted: 2026-03-17 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3206829/sr-applied-science-manager-stores-economics-and-sciences - Excerpt: Sr. Applied Science Manager, Stores Economics and Sciences Seattle, Washington, USA The Stores Economics and Science (SEAS) team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon's network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. We are looking for an outstanding science manager who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. Basic Qualifications: - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a ### Staff Machine Learning Engineer - Apple - Location: Seattle, United States of America (unspecified) - Salary: $201K-$302K - Posted: 2026-04-22 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200645408/staff-machine-learning-engineer?team=SFTWR - Excerpt: Staff Machine Learning Engineer Seattle, United States of America Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust systems that connect scalable data pipelines with advanced ML workflows, accelerating the development of real-world AI applications. Our work spans the full ML lifecycle, from experimentation to deployment, and you'll play a key role in shaping how AI models are built, optimized, and scaled. We develop a platform for ML data and features that powers advanced GenAI applications. This includes embeddings (generation, evaluation, ANN search, multimodal support), AI Ops, efficient inference, and a modern feature platform designed to streamline experimentation and drive innovation. We're looking for engineers and researchers passionate about generative models, data-centric ML, and intelligent systems across diverse real-world use cases. With the autonomy to experiment, the scale to make an impact, and the support to take ideas from prototype to production, you'll work alongside a world-class team to build intelligent, flexible systems that make ML development faster, more reliable, and more creative. The Apple Cloud AI Platform team enables Apple's next generation of intelligent products by giving Apple's ML engineers and researchers the data systems and large-scale compute they need to build and ship models at Apple's bar for quality and privacy. As a member of the Apple Cloud AI Platform team, your responsibilities will include: Design and build the platform behind Apple's ### Machine Learning Engineer, User & Content Intelligence - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651949/machine-learning-engineer-user-content-intelligence?team=MLAI - Excerpt: Machine Learning Engineer, User & Content Intelligence Seattle, United States of America Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. This is not a standard Data Engineering or ML role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content features regardless of where that data physically resides. Architect Distributed Feature Access: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. Engineer Large-Scale Feature Pipelines: Build robust, petabyte-scale pipelines that ingest and combine disparate data into coherent user profiles and rich content representations. Architect Training Data Systems: Transform raw ### Principal Delivery Lead, AI Evaluation & Governance Platform - Royal Bank of Canada - Location: TORONTO, Ontario, Canada (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Principal-Delivery-Lead--AI-Evaluation---Governance-Platform_R-0000175478-2/apply - Excerpt: Principal Delivery Lead, AI Evaluation & Governance Platform TORONTO, Ontario, Canada Exciting opportunity for a Principal Delivery Lead, AI Evaluation & Governance Platform, and drive the delivery of enterprise-scale AI evaluation and governance solutions. Lead cross-functional teams, manage complex technical programs, and shape the future of AI platform capabilities at RBC. Make a significant impact in a dynamic, innovative environment. ### Physical Design Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $230K-$280K - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7764007003 - Excerpt: Physical 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 member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert at ### AI Training - Research Scientist (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761610101 - Excerpt: AI Training - Research Scientist (PST) 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 ### Software Development Engineer II, Amazon Software Builder Experience (ASBX) - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-06-04 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10440236/software-development-engineer-ii-amazon-software-builder-experience-asbx - Excerpt: Software Development Engineer II, Amazon Software Builder Experience (ASBX) Seattle, Washington, USA The Code Services team in Amazon Software Builder Experience (ASBX) owns all source control at Amazon - GitFarm, GitHub, and GitLab. Amazon builds on our platforms - literally. Millions of repositories, hundreds of thousands of production systems, and every AI agent writing code at Amazon today push changes to infrastructure we own and operate. We're looking for a Software Development Engineer to build and scale the platforms where all Amazon code lives, at a time when AI agents are becoming first-class participants in source control alongside human developers. You'll design and deliver systems that operate at massive scale while shipping features that shape how the next generation of builders - both human and AI - interact with code. Key job responsibilities - Design, build, and operate source control infrastructure serving millions of repositories and billions of monthly code operations across Amazon. - Deliver scalable, highly available services that support GitFarm, GitHub Enterprise, and GitLab - platforms that have >4 nines of availability. - Build APIs and platform capabilities that enable AI agents and automated systems to interact with source control safely and at scale. - Drive operational excellence - own on-call, reduce operational toil through automation, and contribute to our AI-native operations approach. - Collaborate with engineers across ASBX to deliver a unified, secure developer experience across all source control platforms. - Solve hard distributed systems problems - monorepo scaling, high-throughput git operations, cross-platform consistency, and performance at ### AI Trainer – Psychologists (UK) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761608101 - Excerpt: AI Trainer – Psychologists (UK) Remote AI Trainer - Psychologists 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 Psychology 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 psychology-related content Judging the performance of AI on psychology, behavioural science, and human cognition prompts Improving cutting-edge AI models using your understanding of psychological theory and human behaviour What you'll bring Background in Psychology and ideally a degree in Psychology or a closely related field A solid understanding of psychological theory, research methods, and ### Staff DFT Engineer - Astera Labs - Location: Tel Aviv-Yafo, Tel Aviv District, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4703792005 - Excerpt: Staff DFT Engineer Tel Aviv-Yafo, Tel Aviv District, Israel Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Staff DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters. As a Staff DFT Engineer at Astera Labs, you will be at the intersection of architecture, design, and production. You won't just run tools-you will be a foundational member of the team responsible for the entire lifecycle of our silicon's reliability. From defining initial DFT architecture to supporting post-silicon bring-up, your work ensures that the backbone of AI infrastructure connectivity is ### Machine Learning Engineer - Human Archive - Location: San Francisco | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/humanarchive/98291570-1c51-4517-93f8-845fea602f43 - Excerpt: Machine Learning Engineer San Francisco | OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at ### IT SRE Team Lead - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-04-09 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7629636003 - Excerpt: IT SRE Team Lead 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 We are seeking an experienced IT SRE Team Lead to build and run the reliability function for Cerebras' internal technology estate. The IT SRE Team Lead will be responsible for the availability, performance, and operational quality of the systems Cerebras employees rely on every day, including identity, endpoint management, collaboration, SaaS, and internal networking. The right candidate will bring a software engineering mindset to IT operations, treating corporate infrastructure as code, with measurable SLOs, automated remediation, and a ruthless focus on eliminating toil. ### Construction Cost Engineer - CoreWeave - Location: Livingston, NJ (unspecified) - Salary: $134K-$179K - Posted: 2026-04-07 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://coreweave.com/careers/job?4670558006&board=coreweave&gh_jid=4670558006 - Excerpt: Construction Cost Engineer Livingston, NJ 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 Center Planning & Construction team at CoreWeave is responsible for delivering a rapidly growing portfolio of data centers and critical infrastructure projects that power our AI cloud platform. We own the full project lifecycle-from site due diligence and design through construction, commissioning, and turnover-while partnering closely with Finance, Operations, and Executive Leadership to scale our footprint responsibly. The Construction Cost Engineer will be the owner-side commercial lead across a portfolio of complex, large-scale developments, with a focus on data centers and mission-critical infrastructure. You will build and maintain the financial “source of truth” for your projects, ensuring clarity, accountability, and control over every dollar from pre-construction through closeout. About the role: As a Construction Cost Engineer, you are responsible for the financial integrity of CoreWeave's physical build-outs. You will manage capital expenditure (CAPEX) for large-scale data center projects, ensuring our ambitious AI infrastructure deployment timelines are met without budget overruns. You will act as the "financial conscience" for our Project Managers and General Contractors. ### AIML - Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI) - Apple - Location: Santa Clara, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-08-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200602308/aiml-staff-machine-learning-engineer-answers-knowledge-information-aki?team=MLAI - Excerpt: AIML - Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI) Santa Clara, United States of America The Siri and Information Intelligence team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products. In this role you will have the opportunity to develop LLMs and other NLP models for user productivity and improving Siri's ability to answer personal domain questions. Our team owns models which are responsible for answering users' questions using their personal documents with privacy at the forefront, and that integrates with other Siri capabilities to enable powerful user experiences. Role responsibilities include: - Contribute to research, design, implementation, and evaluation of models to enhance quality and performance, and to support key functions for Personal Q&A. - Implement and extend LLM models with fine-tuning and RLXF methodologies. Develop high ### Senior ASIC Design Engineer - Astera Labs - Location: Israel (unspecified) - Salary: Not disclosed - Posted: 2026-01-16 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4649872005 - Excerpt: Senior ASIC Design Engineer Israel Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior ASIC Design Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful product ownership in a new site, designing the digital blocks that sit at the heart of our most ambitious connectivity projects. As a Senior ASIC Design Engineer , you won't just build chips-you will be part of a team defining the next generation of AI infrastructure main components. The complex digital blocks under your micro-architecture and implementation responsibilities will power the world's largest AI clusters. You will own the journey from high-level definition through RTL implementation and backend support, transforming complex logic challenges into ### Full Stack Engineer – Manufacturing Test - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $175K-$220K - Posted: 2026-02-25 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628224003 - Excerpt: Full Stack Engineer – Manufacturing Test 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 Full Stack Engineer focusing on Cerebras' manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing - from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities - Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, ### Member of Technical Staff (Machine Learning Engineer) - Reka AI - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1 - Excerpt: Member of Technical Staff (Machine Learning Engineer) Remote What You'll Do - Translate cutting-edge research into production-ready machine learning systems - Design, build, and deploy end-to-end ML models and pipelines - Develop and optimize models for image and video processing - Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment - Rapidly prototype using open-source models and adapt them for product needs - Conduct experiments, analyze results, and iterate to improve performance - Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale - Participate with advancements in machine learning and apply them to continuously improve products What We're Looking For Required Qualifications - MS/PhD in Computer Science, Electrical Engineering, or related field - Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS) - 5+ years of experience in Python and proficiency in Java, C++, or Scala - Strong understanding of diffusion models - Strong understanding of multi-threading and memory management - Solid knowledge of ML architectures: CNNs and Transformers - Experience with PyTorch or TensorFlow - Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications - Experience deploying ML models in cloud environments (AWS preferred) - Experience with experiment tracking systems and ML workflows Nice to Have - Experience in low level optimisation, cuda etc. - Experience productionizing and scaling ML models in real-world systems - Contributions to open-source projects - Experience with MLOps tools or distributed training systems - Familiarity with relational databases (Postgres/MySQL) - ### Senior Accountant - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-26 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7748840003 - Excerpt: Senior Accountant Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Senior Operations Accountant will be a key contributor to the Finance and Operations teams, reporting to the Senior Cost Accounting Manager. This role is designed for a detail-oriented professional who excels in fast-paced environments and can derive insights from complex manufacturing and inventory data. You will support the end-to-end execution of cost accounting and fixed asset processes. Responsibilities Cost Capitalization & Inventory Accounting - Execute monthly inventory reconciliations and post all related journal entries. - Perform calculations for inventory rebates, wafer manufacturing yield losses, ### Senior GL Accountant - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-04-09 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7694944003 - Excerpt: Senior GL Accountant 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 We are seeking a detail-oriented and experienced Senior GL Accountant to join our corporate accounting team. This role is responsible for participating and maintaining general ledger accounting operations, ensuring accurate and timely financial reporting in compliance with U.S. GAAP. Responsibilities - Perform the monthly, quarterly, and annual financial statement close processes globally in accordance with US GAAP, including preparation and review of journal entries, account reconciliations, and variance analysis for cash, prepaids, accruals, inter-company, OPEX and various other accounts. - Support the external reporting ### Senior/Staff Machine Learning Engineer - Vestiaire Collective - Location: Paris (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.lever.co/vestiairecollective/6bf15ddc-4fe9-4738-875b-98cce21d6715 - Excerpt: Senior/Staff Machine Learning Engineer Paris Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion. Our mission is simple: make circular fashion the norm, not the exception. Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way. Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US. Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry. Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and ### Senior/ Staff Physical Design Engineer - CAD Extraction - Astera Labs - Location: Israel (unspecified) - Salary: Not disclosed - Posted: 2026-03-18 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4674516005 - Excerpt: Senior/ Staff Physical Design Engineer - CAD Extraction Israel Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Extraction to join our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful technical ownership in a new site, implementing the parasitic extraction (PEX) methodologies and flows for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the accuracy and efficiency of our extraction environment, ensuring that our high-speed designs are modeled with the highest precision from RTL to GDSII. Key Responsibilities - Develop, qualify, and maintain automated RC extraction flows for high-performance AI SoCs - Own the ### Data Quality Engineer, AI Business - Prolific - Location: North America (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4751259101 - Excerpt: Data Quality Engineer, AI Business North America Data Quality Engineer, AI Business Team: Client Services Prolific Prolific isn't just enabling AI innovation - we're redefining it. While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You'll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution-enabling faster launches without compromising trust as task types and volumes evolve. What You'll Be Doing Own end-to-end quality design for Prolific managed service studies, including rubrics, acceptance criteria, defect taxonomies, severity models, and clear definitions of done. Define, implement, and maintain quality measurement systems, including sampling plans, golden sets, calibration protocols, agreement targets, adjudication workflows, and drift detection. Build and deploy automated quality checks and launch gates using Python and SQL, such as schema and format validation, completeness checks, anomaly detection, consistency testing, and label distribution monitoring. Design and run launch readiness processes, including ### Electrical Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $150K-$260K - Posted: 2026-02-19 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628237003 - Excerpt: Electrical 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. Responsibilities - Lead printed circuit board design through all development stages: from definition to implementation, bring-up, qualification, and production release. - Full responsibility for electrical specification, schematic design, components selection, and layout considerations. - Extensive lab bring-up and debugging, including developing automated benchtop setups for board characterization. - Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc. Skills & Qualifications - B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience. ### Applied AI Transformation Manager - Europe - Cognition IP - Location: London | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/cognition/2f6d29d9-1e3e-43a6-8b92-8ca5a1b23ede - Excerpt: Applied AI Transformation Manager - Europe London | OnSite WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts ### Senior Performance Engineer, Inference - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-04-13 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7698266003 - Excerpt: Senior Performance Engineer, Inference 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 We are hiring a Senior Performance Engineer to join our Product team. You are an expert on state-of-the-art inference performance and will serve as our resident expert on how Cerebras stacks up against alternative inference providers on both price and performance. This role sits at the intersection of performance benchmarking from first principles and competitive intelligence. The role has two core pillars: - Performance Benchmarking You will build, run, and maintain reproducible benchmarks that measure Cerebras inference performance for real customer workloads. This --- Source-backed benefit claims include source links; other benefit values are labeled separately.