# FewerJobs export - 100 curated jobs Generated: 2026-11-11T01:00:46.941Z 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**: 5 - **per_page**: 100 - **sort**: relevance ## Jobs ### AI Builder - Full Stack - Groupon INC - Location: Madrid; Valencia (unspecified) - Salary: Not disclosed - Posted: 2026-01-12 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.eu.greenhouse.io/groupon/jobs/4738730101 - Excerpt: AI Builder - Full Stack Madrid; Valencia Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role 📍Hybrid from Madrid or Valencia You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You ### UI/UX Visual Designer - AI Trainer - Handshake - Location: Remote (USA), Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-03-13 - Apply: https://jobs.ashbyhq.com/handshake/8e9ee351-7149-40fa-851a-c4fb35fbc61d - Excerpt: UI/UX Visual Designer - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled Inkscape users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with vector design, logo creation, or print and web graphics to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and creative workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Inkscape user who has worked in or around roles like: - Graphic Designer or Visual Designer - Brand Designer or UI Designer - Print or Web Designer You should have solid experience with one or more of the following: - Vector illustration, logo design, or icon creation using Inkscape - Annotating or labeling graphic design assets - Creating design assets from structured briefs or brand guidelines - Reviewing vector graphics for quality, precision, or design consistency What You'll Do You'll use your experience with Inkscape to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 1 year of hands-on experience with Inkscape , whether through professional work or freelance projects. - A working knowledge of vector design concepts and workflows - Strong written communication ### Senior Hardware Technical Program Manager - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $180K-$230K - Posted: 2026-03-23 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7675820003 - Excerpt: Senior Hardware Technical Program Manager 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. The Role As a Senior Hardware Technical Program Manager at Cerebras, you will spearhead operational excellence for our high-performance AI compute systems and data centers. You will own the end-to-end hardware schedule for design and engineering improvements, report on engineering issues, and define mitigation strategies. You will own the schedule, implementation, and software integration of hardware changes. You will collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale engine supercomputers. Your role ### AIML - Machine Learning Engineer - Computer Vision & Audio, MIND - 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/200649665/aiml-machine-learning-engineer-computer-vision-audio-mind?team=MLAI - Excerpt: AIML - Machine Learning Engineer - Computer Vision & Audio, MIND Seattle, United States of America The Machine Intelligence, Neural Design (MIND) team, part of Apple's AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. We are seeking a hands-on Machine Learning Engineer to drive the data & evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performance data processing pipelines, ensuring data quality, performing in-depth failure analysis on production models, and implementing advanced data augmentation techniques to boost model performance. This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models. You will innovate across the entire end-to-end ML production pipeline, bridging the gap between hardware, software, and modeling, ensuring our ML systems are robust, efficient, and scalable. We are seeking a Machine Learning Engineer to design and deliver innovative features and models that advance our ML systems. In this role, you will scale model evaluation workflows, build robust data pipelines, and optimize performance across the stack. Your responsibilities will include: * Pipeline Scaling & Optimization: Design, build, and maintain scalable ETL/ELT data pipelines using tools like Spark, & Airflow to handle large-scale datasets. Optimize existing pipelines for ### AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030) - Extreme Networks Inc - Location: San Jose, California, United States (unspecified) - Salary: $170K-$240K - Posted: 2025-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/extremenetworks/6dfcbfe3-0718-4701-b44e-7d4773b5fde7 - Excerpt: AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030) San Jose, California, United States Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team. Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is ### Staff Kernel Optimzation Engineer - Cerebras Systems - Location: Remote, California, United States (remote) - Salary: Not disclosed - Posted: 2026-02-05 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7620254003 - Excerpt: Staff Kernel Optimzation Engineer Remote, California, United States 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 Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed ### Machine Learning Engineer, ML/GenAI Evaluation - Apple - Location: Austin, United States of America (unspecified) - Salary: $172K-$302K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667292/machine-learning-engineer-ml-genai-evaluation?team=SFTWR - Excerpt: Machine Learning Engineer, ML/GenAI Evaluation Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about measuring what matters and ensuring AI systems work reliably for everyone? Do you believe that rigorous evaluation - including holding models accountable to fairness standards - is what separates great ML from good ML? We truly believe it is! We are defining what exceptional looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer specializing in Evaluation, you will establish the evaluation criteria, metrics frameworks, and quality standards that determine when models are ready to reach hundreds of millions of users. Your judgment shapes model quality and earns the confidence to ship. You'll work at the intersection of rigorous ML science and high-impact product decisions, collaborating closely with ML Engineering, Product, Privacy, and Legal teams. This unique opportunity puts you at the center of model quality - designing adversarial test strategies, surfacing failure modes before they reach users, and owning the sign-off process that ensures Apple's financial features meet the highest bar for accuracy, robustness, and reliability. The ideal candidate is a rigorous, curious ML practitioner who believes that how you measure a model is just as important as how you train it. You think critically about what metrics actually capture, know how models break in the real world, and hold quality standards others find uncomfortably high - including on dimensions like fairness. You will own the full evaluation ### Director, Strategic Finance - Corporate FP&A - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-21 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7742830003 - Excerpt: Director, Strategic Finance - Corporate FP&A 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 This role is a front-row seat in a company at the leading edge of AI compute. You will create the corporate FP&A operating system for the company: long-range planning, annual planning, forecasting, executive reporting, guidance support, and SG&A business partnering that keeps decision-ready insight flowing as the company scales. The scope can stretch for a proven FP&A leader seeking a sharper public-company platform or a high-potential leader ready to pull the function forward from day one. You will work across leadership ### AI Solutions Engineer - Mergers & Acquisitions - Roche Holding AG - Location: Warsaw, Masovian, Poland (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Apply: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Warsaw/AI-Full-Stack-Engineer---Mergers---Acquisitions_202603-108197-1/apply - Excerpt: AI Solutions Engineer - Mergers & Acquisitions Warsaw, Masovian, Poland Our work spans multiple high-impact initiatives, including AI-enabled partnering solutions, intelligent data products, workflow automation, and enterprise-scale data and AI integrations. You will work... ### Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-16 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200588345/machine-learning-research-engineer-siri-comprehension-planning-siri-agent-modeling?team=MLAI - Excerpt: Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling Cupertino, United States of America The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved. The frontier of AI isn't in the cloud anymore. It's in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user's device. At Apple's Siri team, this isn't a research paper-it's our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. We're looking for engineers who thrive on solving the puzzles that exist at the bleeding edge of hardware, software, and machine learning. This is a full-stack ML role for those who want to own their work from concept to silicon. Your Playground: * Training & Fine-Tuning: Architect and train LLMs specifically for assistant behavior. This is your opportunity to define what "reasoning" and "task completion" mean for a billion users. * Performance & Optimization: Master the art of model surgery. You'll design and implement novel context and adapter strategies to make our models faster and smarter ### Head of Corporate IT & Cyber Security - firmus - Location: Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-03-25 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5162826008 - Excerpt: Head of Corporate IT & Cyber Security Sydney, Australia Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure from model to grid. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. This co-designed approach from model to grid allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you'll love working here At Firmus, you'll work at the intersection of sustainability and artificial intelligence in a fast-paced environment powered by next-generation technology. You'll be helping to transform an entire industry - and you'll feel it every day. Our team is made up of true innovators and leaders in their fields, and as an emerging company, you won't be lost in a crowd. ### Senior Strategy & Operations Manager - Snorkel AI - Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) (hybrid) - Salary: $130K-$200K - Posted: 2026-03-16 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/5822681004 - Excerpt: Senior Strategy & Operations Manager New York City, NY (Hybrid); Redwood City, CA (Hybrid); 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! About the Role We are hiring a Senior Strategy & Operations Manager to help run Snorkel's rapidly scaling Data-as-a-Service (DaaS) business. DaaS Operations is the centralized Strategy & Operations team reporting into the GM of DaaS, partnering across Supply, Delivery, GTM, Innovation, Finance, and Engineering to keep the business running with rigor and scaling efficiently as complexity grows. In this role, you will move fluidly across the most important problems in the business - operating cadences and planning cycles, capacity and supply planning, project execution and quality, customer outcomes, and the new operating functions we are standing up as DaaS ### AI Trainer - Advanced Arabic Fluency (Spain) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750632101 - Excerpt: AI Trainer - Advanced Arabic Fluency (Spain) Remote AI Trainer - Advanced Arabic Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Arabic Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Arabic. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### Operations Manager - Growth - Snorkel AI - Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) (hybrid) - Salary: $130K-$180K - Posted: 2026-05-12 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/5993326004 - Excerpt: Operations Manager - Growth New York City, NY (Hybrid); Redwood City, CA (Hybrid); 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! About the Team The Data-as-a-Service (DaaS) organization at Snorkel is one of the company's most critical growth engines. Within DaaS, the Supply team is responsible for building and scaling the global expert contributor (EC) network that powers our data delivery. This includes sourcing high-quality contributors across domains, managing external partnerships (e.g., BPOs), and ensuring we can meet demand with the right supply at the right time. About the Role We are looking for a strategy and operations manager to support the acquisition of ECs. This role will flex across high-priority initiatives - from scaling acquisition channels to improving partner performance - ### Senior AI Engineer - Affinity - Location: USA (Remote) (remote) - Salary: $160K-$235K - Posted: 2026-06-07 - Apply: https://job-boards.greenhouse.io/affinity/jobs/7664600003 - Excerpt: Senior AI Engineer USA (Remote) Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior AI Engineer , you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data - an exciting and unique opportunity within the industry. In this role, you will: Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. Collaborate cross-functionally : Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications Don't meet every single ### General Manager of Financial Planning & Analysis - firmus - Location: Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5215485008 - Excerpt: General Manager of Financial Planning & Analysis Sydney, Australia Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you'll love working here - A fast-paced and dynamic environment working with next-gen technology. You'll be operating at the intersection of sustainability and artificial intelligence - helping to transform an industry. - Working with and access to colleagues who are true innovators and leaders in their field. - As an emerging company, we work as a close-knit team. Work with the founders, grow a strong ### Staff Machine Learning Engineer for AI Product - Qonto - Location: Paris (unspecified) - Salary: Not disclosed - Posted: 2021-04-12 - Apply: https://jobs.lever.co/qonto/471e0021-d630-4cd1-81c3-2fb2e9dc253c - Excerpt: Staff Machine Learning Engineer for AI Product Paris Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75. Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Staff Machine Learning Engineer on our AI Product team to build and ship customer-facing AI for 600,000+ business customers. You'll combine Generative AI with proven machine-learning techniques to create products with measurable impact - adoption, faster task completion, user satisfaction - while ensuring reliability, privacy, and continuous monitoring in ### Scaled Customer Success Manager - Notion - Location: San Francisco, California, San Francisco, California, United States, New York, New York (unspecified) - Salary: $110K-$165K - Posted: 2026-05-15 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://jobs.ashbyhq.com/notion/4895df6c-fc12-4bd5-8c2f-07a8877a2468 - Excerpt: Scaled Customer Success Manager San Francisco, California, San Francisco, California, United States, New York, New York 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 AMER. - 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 ### Sr. Sales Manager- AI - Supermicro - Location: US - HQ (US001) | Country United States | State California | City San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://jobs.supermicro.com/job/San-Jose-Sr_-Sales-Manager-AI-Cali/1302829900/ - Excerpt: Sr. Sales Manager- AI US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26585 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a Senior Sales Manager to drive growth across AI-native startups, Robotics & Autonomous Systems, Data Center / Cloud Infrastructure, and Retail and Healthcare / Life Sciences AI segments. This role is focused on building early-stage to enterprise customer relationships, guiding AI customers from proof-of-concept to large-scale production deployments, and positioning Supermicro as the preferred AI infrastructure partner. The Sr. Sales Manager will work cross-functionally with Engineering, Product Management, Finance, Logistics, Marketing, and Strategic Partners (cloud providers, AI platforms, system integrators) to deliver GPU-accelerated, liquid-cooled, and rack-scale AI solutions. The ideal candidate is consultative, technically fluent in AI infrastructure, and experienced in scaling customers from startup to production environments. Essential Duties and Res ### AI Automation Senior Lead - Taskrabbit - Location: San Francisco, California, United States (unspecified) - Salary: $192K-$250K - Posted: 2026-04-30 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/taskrabbit/jobs/7782633 - Excerpt: AI Automation Senior Lead 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! This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. About the Role We are looking for a builder to help lead our 'AI for Work' efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every ### Financial Accountant - firmus - Location: Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-05-11 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5215483008 - Excerpt: Financial Accountant Sydney, Australia Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you'll love working here - A fast-paced and dynamic environment working with next-gen technology. You'll be operating at the intersection of sustainability and artificial intelligence - helping to transform an industry. - Working with and access to colleagues who are true innovators and leaders in their field. - As an emerging company, we work as a close-knit team. Work with the founders, grow a strong network, and witness the impact ### Senior Principal, ML/AI - Xometry INC - Location: North Bethesda, MD (unspecified) - Salary: $150K-$196K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/xometry/jobs/4967744007 - Excerpt: Senior Principal, ML/AI North Bethesda, MD Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligence to join our team. You will serve as a technical leader for large, cross-functional ML/AI initiatives that have significant and lasting business impact. You will own and drive an 18- to 24-month technical roadmap that balances innovation with business value delivery. You will work closely with engineering, product, design, manufacturing operations, and business leadership to influence partner roadmaps and resourcing. You will be a respected subject-matter expert, proactively removing roadblocks for teams and tackling problems beyond your immediate scope. You will identify and lead on opportunities to drive revenue growth, cost reduction, efficiency improvement, and competitive differentiation - especially in areas involving 2D/3D part understanding, generative AI, and advanced machine-learning platforms. Responsibilities Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry's business. Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization) Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, ### Technical Recruiter - Cogent Communications Holdings INC - Location: San Francisco, CA Remote (remote) - Salary: Not disclosed - Posted: 2026-04-21 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/cogent-security/9bf47896-f759-4ae6-b53b-e043df73bacf - Excerpt: Technical Recruiter San Francisco, CA Remote 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 Cogent is scaling fast and we're looking for a Technical Recruiter who can own the full recruiting lifecycle. You'll work directly with our founders to bring on exceptional engineering, security, and AI talent as we build out a world-class team. This role is ideal for recruiters who thrive in high-ownership environments, love finding and closing exceptional talent, and want to see the tangible impact ### Data Scientist, AI/ML Model Quality - Apple - Location: Austin, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR - Excerpt: Data Scientist, AI/ML Model Quality Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about the integrity of the data that powers AI systems at scale? Do you believe that trustworthy data is the foundation of every great model? We truly believe it is! We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, and monitoring pipelines that keep our data ecosystem healthy - ensuring that every model we build is trained, evaluated, and deployed on data we can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users. You'll work at the intersection of statistical rigor and production systems, collaborating closely with ML Engineering, Data Engineering, Privacy, and Legal teams. This unique opportunity puts you at the center of ML and AI quality - owning the health of training and validation datasets, defining and analyzing observability metrics to surface actionable product insights, and leading telemetry analysis across GenAI workflows - ensuring Apple's financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems. The ideal candidate is a detail-obsessed data scientist who understands that model quality starts long before training - it starts with the data. You have strong statistical instincts, know how silent degradation and data drift manifest ### GPU Cloud Platform Engineer - Yotta - Location: United States | Remote | Canada | Argentina | Brazil | Mexico (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/yotta/62d8f4db-a749-46f5-858a-a2e0ff168682 - Excerpt: GPU Cloud Platform Engineer United States | Remote | Canada | Argentina | Brazil | Mexico Location: Remote (Global) Type: Full-time Company: Yotta Labs Apply: careers@yottalabs.ai 🧠 About Yotta Labs Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale. Our mission is to democratize access to AI resources by aggregating geo-distributed GPUs, enabling high-performance computing for AI training and inference on a wide spectrum of hardware-from commodity to high-end GPUs. Our platform supports major large language models (LLMs) and offers customizable solutions for new models, facilitating elastic and efficient AI development. 🛠️ Role Overview We are seeking a GPU Cloud Platform Engineer to join our core infrastructure team and help build the next-generation AI compute cloud. In this role, you will design, deploy, and operate large-scale, multi-cluster GPU infrastructure across data centers and cloud environments. You will be responsible for ensuring high availability, performance, and efficiency of containerized AI workloads-ranging from LLMs to generative models-deployed in Kubernetes-based GPU clusters. If you're passionate about high-performance systems, distributed orchestration, and scaling real-world AI infrastructure, this role offers a unique opportunity to shape the backbone of our AI cloud platform. 🎯 Responsibilities - Build and operate large-scale, high-performance GPU clusters; ensure stable operation of compute, network, and storage systems; monitor and troubleshoot online issues. - Conduct performance testing and evaluation of multi-node GPU clusters using standard benchmarking tools to identify and resolve performance bottlenecks. - Deploy and orchestrate large models (e.g., LLMs, ### Senior Data Scientist, Core Ranking and AI Context - Google - Location: Mountain View, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSmSyzxdy90gKWaZAJDKhbJH0CC5wTnpRucM0bdENcVgEjsACxwdTP0MVH85WqotCen66HmECf8JN-JDkYS4l9NBtRnFqAwli0W826ovHe2O8Z3cFgtd9yXnrQ0r4Q%3D%3D_V2&loc=US&title=Senior+Data+Scientist - Excerpt: Senior Data Scientist, Core Ranking and AI Context Mountain View, CA, USA As a Data Science team that supports Core Ranking and AI Context Engineering (CRAFT), we are the foundation for all of Google's key products - Search, AI Overview, and AI Mode. Working alongside engineers and product managers, we work on the most complex challenges, push the boundaries of Web and AI quality, and architect novel ways for billions of users to experience Google's capabilities on a daily basis. This is your chance to define our Search products for Google. The mission of the CRAFT team is to drive measurements, insights, and impel actions with our partners across Core Ranking and AI Context Engineering in Search to elevate Google's Search Engine Results Page (SRP) and AI Mode and AI Overviews (AIX) products. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Work closely with engineers and product managers to identify quality and metric headrooms. Conduct rigorous analyses of large-scale datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to stakeholders. Develop evals and measurements to guide hillclimbing and iterative improvements. Be an integrated partner to impel system changes and launches. Automate such evals and measurements in collaboration with engineering and product. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or ### Principal Solutions Architect, Strategic Accounts - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $183K-$247K - Posted: 2026-03-03 - 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/3195022/principal-solutions-architect-strategic-accounts - Excerpt: Principal Solutions Architect, Strategic Accounts Seattle, Washington, USA What if your architecture became the industry blueprint for agentic AI? As a Principal SA embedded with a Fortune 500 technology leader, you'll architect, design, and build multi-agent systems at massive scale while advising C-Suite executives on AI transformation. The Opportunity You'll serve as a trusted technical advisor to a technology company that is actively reshaping their industry using AI. You will be a technical counterpart to customer executives who speak fluent AI and expect their AWS Solutions Architect to match that depth and push the conversation further. The customer is: - Deploying specialized AI agents across every stage of the traveler journey - from inspiration to booking to in-trip support - Pioneering a Business-to-Agent (B2A) marketing paradigm - treating AI agents as a first-class audience - Building MCP-based infrastructure that opens services to third-party AI agents at massive scale - Leveraging frontier foundation models for real-time inference, fine-tuning, and agentic orchestration What Makes This Role Different This role: - Shapes the technical agenda for the account and operates at the C-Suite level - Builds net-new architectures that become the reference - Focuses on business outcomes - Influences company-wide AI strategy - Span GenAI, ML platforms, agentic systems, data, and infrastructure Key job responsibilities - Build - create prototypes, reference implementations, and production-ready architectures that prove the value of new AI capabilities at scale - Serve as the trusted technical voice - shaping the industry-level conversation on AI - Access the full ### Sr Techncial Program Manager , AWS Prototyping and AI Customer Engineering (PACE) - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $149K-$201K - 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/10419281/sr-techncial-program-manager-aws-prototyping-and-ai-customer-engineering-pace - Excerpt: Sr Techncial Program Manager , AWS Prototyping and AI Customer Engineering (PACE) Seattle, Washington, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Be the force multiplier that accelerates AI innovation at scale for AWS's most forward-thinking customers and partners. The AWS Prototyping and AI Customer Engineering (PACE) team builds working Generative AI and Agentic AI prototypes in days and weeks, not months, and we need a Technical Program Manager who can own and grow our partner-led engagement program. If you're passionate about AI technologies, energized by building programs that create non-linear impact through technology partners, and thrive on turning successful prototyping patterns into repeatable, scalable mechanisms, this is your opportunity to shape how organizations globally adopt AI. In this role, you'll own PACE's partner-scaled AI prototyping program end-to-end, using an "Amazon Designed, Partner Delivered" approach. You'll take proven AI patterns (large language models, RAG architectures, autonomous agents, AI-driven development tools) and scale them through a growing ecosystem of technology partners. Day to day, you'll design and run partner enablement programs, lead partner summits, build qualification mechanisms, and expand into new partnership models. You'll create ### Agentic AI/ML Engineer, Multimodal - FieldAI - Location: Irvine, CA (unspecified) - Salary: Not disclosed - Posted: 2025-09-26 - Apply: https://jobs.lever.co/field-ai/28935a89-7c6b-4caf-abe7-b83b8a9958e1 - Excerpt: Agentic AI/ML Engineer, Multimodal Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from ### AI Trainer - Advanced Japanese Fluency (PST) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750669101 - Excerpt: AI Trainer - Advanced Japanese Fluency (PST) Remote AI Trainer - Advanced Japanese Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Japanese Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Japanese. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### Senior Data Engineer - firmus - Location: Singapore (unspecified) - Salary: Not disclosed - Posted: 2025-11-17 - Apply: https://job-boards.greenhouse.io/firmus/jobs/4989828008 - Excerpt: Senior Data Engineer Singapore Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. ROLE Firmus Technologies is seeking a Senior Data Engineer to join our Engineering and Technology team. You will lead the design , build and operation of self-hosted data platform across its full stack : streaming telemetry off GPU compute and cooling systems, data lake feeding hardware failure prediction models, AI-native layers powering agent-based workflows, and the governance layer that makes them secure and discoverable. This is the platform that connecting AI ### Security Engineer II, StoreSec Application Security - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $159K-$202K - Posted: 2026-05-20 - 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/10425775/security-engineer-ii-storesec-application-security - Excerpt: Security Engineer II, StoreSec Application Security Austin, Texas, USA Amazon Healthcare Security's (HealthSec) AI team is hiring a Security Engineer II to secure GenAI applications and enable secure AI adoption across Amazon Health Services (AHS). You will work at the intersection of AI for Security and Security for AI-securing AHS GenAI applications in production, hardening the AI-SDLC for AHS builders, and building AI-powered security tooling that scales protection across healthcare verticals including application security, network and infrastructure security, detections and monitoring, and incident response. Working closely with AHS AI application builders and product teams, you will ensure that AI systems handling healthcare data meet HIPAA compliance and Amazon's security bar while improving security review process efficiency for both builders and peer healthcare security teams. Key job responsibilities Define and drive implementation of proactive security controls for AHS AI applications including GenAI chatbots, agentic systems, and LLM-powered tools Develop and implement security controls for the AI-SDLC, ensuring AHS builders build secure AI applications by default Assess and drive mitigation of AI-specific security risks including prompt injection, model abuse, data exfiltration, and unauthorized tool invocation at scale Build and/or drive adoption of AI-powered security tooling (e.g., automated threat modeling, code scanning, security test generation) to scale security across AHS Drive adoption of AI security guardrails, testing frameworks, and monitoring across AHS GenAI applications Collaborate with AHS builder teams to integrate security guidance into AI development workflows, reducing late-stage security findings Develop and maintain security documentation including AI threat models, risk assessments, and ### Machine Learning Engineer Manager (AI Platform) - Nu Holdings Ltd. - Location: Brazil, Sao Paulo (unspecified) - Salary: Not disclosed - Posted: 2026-02-12 - Apply: https://job-boards.greenhouse.io/nubank/jobs/7611902 - Excerpt: Machine Learning Engineer Manager (AI Platform) Brazil, Sao Paulo About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. About the Role AI Platform Team - The mission of the AI Platform team is bold: to democratize AI by empowering every Nubanker-not just Data Scientists-with safe, scalable, and accurate Machine Learning capabilities. We are looking for a Manager who is passionate about creating solutions that push the boundaries of our current stack. You will help us move beyond basic DS work to abstract the complexities of the entire ML lifecycle-from training and deployment to serving and governance. Why is this role open? We are scaling. Currently, our structure has grown significantly, and to ensure the organization's health and the growth of our engineers, we are opening this position to lead a dedicated squad. You will take ownership of a team that manages the base infrastructure for the entire Data Science function at Nubank. You'll be responsible for: As the ML Manager for the AI Platform , you will combine technical leadership with people management. You will lead a squad of 11 Machine Learning Engineers (varying from Senior to Intern levels) and work closely with a Staff ML Engineer and a Product Manager. - People ### SDE III - Backend - Speck - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2026-03-04 - Apply: https://job-boards.greenhouse.io/glance/jobs/7213699 - Excerpt: SDE III - Backend Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Job Summary We're looking for a Senior ### Distributed Training Engineer - Periodic Labs - Location: Menlo Park, Remote, Menlo Park, California, USA (remote) - Salary: Not disclosed - Posted: 2025-09-24 - Apply: https://jobs.ashbyhq.com/periodic-labs/f98c0ec8-eacb-4651-8218-03646643e2de - Excerpt: Distributed Training Engineer Menlo Park, Remote, Menlo Park, California, USA About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission. About the role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and maintain mid-training and reinforcement learning workflows. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world's best AI + science lab for physicists, computational materials scientists, AI researchers, and engineers. You will contribute open-source large scale LLM training frameworks. You might thrive in this role if you have experience with: - Training on clusters with ≥5,000 GPUs - 5D parallel LLM training - Distributed training frameworks such as Megatron-LM, FSDP, DeepSpeed, TorchTitan - Optimizing training throughput for large scale Mixture-of-Expert models ### Full-Stack Senior Software Engineer, AI-Powered Sales Platform - Aircall - Location: Madrid Office (unspecified) - Salary: EUR 70K-90K - Posted: 2026-05-28 - Apply: https://jobs.lever.co/aircall/45c0c639-8590-4df3-a407-2df9116ef1a0 - Excerpt: Full-Stack Senior Software Engineer, AI-Powered Sales Platform Madrid Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications ### AI Solution Architect - Emerson Electric - Location: Escazú, San José, Costa Rica (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/26003455 - Excerpt: AI Solution Architect Escazú, San José, Costa Rica The AI Solution Architect is a hands-on technical leader responsible for designing, building, and scaling enterprise-grade AI and agentic AI solutions within the Enterprise AI Center of Excellence (CoE). This role blends solution architecture, engineering delivery, and standards definition to ensure AI solutions are production-ready, secure, reusable, scalable, and governed across the enterprise. ### AI Trainer – Psychologists (CAN) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761606101 - Excerpt: AI Trainer – Psychologists (CAN) 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 ### AI Trainer - Advanced SQL Developers - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4579522101 - Excerpt: AI Trainer - Advanced SQL Developers Remote AI Trainer - Advanced SQL Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for SQL Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring SQL developer skills and verifiable professional experience as a SQL developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks such ### Senior Engineering Manager, Management Plane Systems - Crusoe - Location: San Francisco, CA - US, San Francisco, California, USA (unspecified) - Salary: $237K-$288K - Posted: 2026-06-02 - 401(k) match: 0% (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/crusoe/d2ce87e9-b0f9-452f-a074-3fca86194ee1 - Excerpt: Senior Engineering Manager, Management Plane Systems San Francisco, CA - US, San Francisco, California, USA Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As we scale our AI infrastructure, we are investing deeply in the software systems that manage, observe, and heal our network at scale. We are hiring a Senior Engineering Manager, SDN Management ### Lead Machine Learning Engineer / Applied AI Scientist - Nu Holdings Ltd. - Location: Brazil, Sao Paulo (unspecified) - Salary: Not disclosed - Posted: 2026-02-06 - Childcare support: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/nubank/jobs/7587179 - Excerpt: Lead Machine Learning Engineer / Applied AI Scientist Brazil, Sao Paulo About Us Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world's largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. About the role At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank's most critical decision systems. We are seeking an Lead Machine Learning Engineer (Applied AI Scientist) to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results. As an Applied AI Scientist (MLE), you're expected to: - Research Execution & Technical Leadership (Complexity & Autonomy) - Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference. - Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact. - Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency. - Strategic Impact & Collaboration (Impact) - Develop and deliver innovative solutions that address project-level challenges, ### Scaled Partner Manager Consultants & Agencies - Notion - Location: San Francisco, California, San Francisco, California, United States, New York, New York (unspecified) - Salary: $185K-$185K - Posted: 2026-03-27 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://jobs.ashbyhq.com/notion/e38a39fd-6b9d-4d1e-b22b-a86d006e44eb - Excerpt: Scaled Partner Manager Consultants & Agencies San Francisco, California, San Francisco, California, United States, New York, New York 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 Notion is seeing a massive services layer emerge on top of the product-consultants and agencies building workflows, implementations, and repeatable “operating systems” for customers. Partner-involved commercial deals have scaled to ~40+ active at a time; we need a dedicated operator to turn this into a repeatable co-sell channel without breaking quality. This isn't a brand-new revenue pillar-we already have partner pull-but we're adding rigor and scale as the business grows (operating cadence, clean handoffs, and a quality bar that holds under volume). You'll ### Policy Communications Manager - Anthropic - Location: San Francisco, CA | New York City, NY (unspecified) - Salary: $265K-$295K - Posted: 2026-06-11 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/5254582008 - Excerpt: Policy Communications Manager San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation. You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic ### AI Training Specialist - Canada - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4763299101 - Excerpt: AI Training Specialist - Canada 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 receive ### Lead Software Engineer, AI - Paramount Skydance Corporation - Location: Burbank, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Adoption assistance: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://careers.paramount.com/job/Burbank-Lead-Software-Engineer%2C-AI-CA-91505/1388434000/ - Excerpt: Lead Software Engineer, AI Burbank, CA #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer, AI Tooling & Quality Engineering Platforms Team: Global Quality Engineering (GQE) Location: NY, Burbank (Onsite) Role Type: IC Overview Paramount Skydance Corp. is seeking a Lead Software Engineer to architect, lead, and deliver enterprise-scale AI tooling and internal platforms that transform how Global Quality Engineering operates. This is not an "in test" role - you will be building foundational AI platforms, internal developer tools, and intelligent automation systems used across multiple brands and engineering pillars. You will define technical direction, lead complex initiatives, and build systems that accelerate automation, triage, and analysis at scale. Key Responsibilities Architect large-scale AI platforms, RAG systems, and intelligent automation services that support GQE. Lead the design of internal developer tools, micro-platforms, and APIs that integrate AI into core engineering workflows. Build and maintain full stack systems - in ### Machine Learning Engineer - Goodfire - Location: San Francisco, CA & New York, NY (unspecified) - Salary: $200K-$400K - Posted: 2025-12-04 - Apply: https://job-boards.greenhouse.io/goodfire/jobs/5019847008 - Excerpt: Machine Learning Engineer San Francisco, CA & New York, NY About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs. Where you might contribute: - ### Senior Machine Learning Engineer - Raspberry AI - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2025-08-17 - Apply: https://jobs.ashbyhq.com/raspberry/eddadfe0-7f63-4cfb-8c01-125b88c592a1 - Excerpt: Senior Machine Learning Engineer United States Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft. About the Role This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain. Additional responsibilities may be assigned as business needs evolve. Responsibilities - Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques. - Implement and evaluate novel techniques for improving quality and controllability in generated designs. - Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively. - Collaborate closely with the team to translate prototypes into production-ready systems. - Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research. Requirements - Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience. - Strong theoretical and practical understanding of deep learning, with a focus ### AI Trainer - Advanced Arabic Fluency (Canada) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750627101 - Excerpt: AI Trainer - Advanced Arabic Fluency (Canada) Remote AI Trainer - Advanced Arabic Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Arabic Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Arabic. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### Software Engineer, Kernel Reliability - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-03-05 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647330003 - Excerpt: Software Engineer, Kernel Reliability 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 We're looking for a deeply technical, hands-on software engineer to join our on-field Kernel Reliability team. You'll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis-and enjoy building tools and solving ### AI Trainer - Advanced Spanish Fluency (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720317101 - Excerpt: AI Trainer - Advanced Spanish Fluency (PST) Remote AI Trainer - Advanced Spanish Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Spanish Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Spanish. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### CoDesign & NextGen - New College Grad - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $145K-$155K - Posted: 2026-01-07 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7580399003 - Excerpt: CoDesign & NextGen - New College Grad 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 Engineers in the CoDesign and NextGen organization work at the interface of software and hardware helping everything from high performance kernel design, next generation ASIC performance modeling and tuning, new system bringup and software tuning, system robustness and simulations. As an new engineer you'll be expected to learn the Cerebras products and platforms end to end starting at the base layer of programming the Wafer Scale Engine through kernel development, modeling performance for our software products and validating the work ### AI Trainer - Advanced Mandarin Fluency (Spain) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750707101 - Excerpt: AI Trainer - Advanced Mandarin Fluency (Spain) Remote AI Trainer - Advanced Mandarin Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Mandarin Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Mandarin. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### Prognostics & Health Monitoring Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $150K-$250K - Posted: 2026-04-30 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7720309003 - Excerpt: Prognostics & Health Monitoring 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. Role Summary Quality, reliability, and uptime are foundational to scaling Cerebras systems. We are seeking an engineer to define and build our prognostics and health monitoring (PHM) capability-developing frameworks to monitor, assess, and predict hardware health across our fleet. In this role, you will transform telemetry and operational data into actionable insights and automated responses, enabling early detection of degradation, accurate failure prediction, and proactive actions to keep systems highly available, performant, and resilient. This is a highly cross-functional role spanning reliability engineering, data science, ### Machine Learning: Multimodal Foundation Models - The Bot Company - Location: San Francisco (unspecified) - Salary: Not disclosed - Posted: 2026-02-25 - Apply: https://jobs.ashbyhq.com/thebotcompany/aa5a8fff-d742-461a-a987-9bcaf87e44d5 - Excerpt: Machine Learning: Multimodal Foundation Models San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Multimodal Foundation Models We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies. You will work on large multi-modal networks and own the entire stack from data to training and deploying models. What You'll Do - Build Native Multimodal Policies: Develop architectures where vision, language, and more ### ML Software Tool Development Engineer - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-02-17 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7634141003 - Excerpt: ML Software Tool Development Engineer 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. Responsibilities: - Lead the design and implementation of system-level debugging, validation, and observability platforms. - Develop automated systems for collecting and analyzing numerical, and execution anomalies. - Create visualization and analysis tools to enable efficient root-cause investigation. - Build frameworks for failure classification, regression detection, and anomaly monitoring. - Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation. - Improve system bring-up, low-level debug, and validation workflows. - Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams. - ### Engineering Manager, Kernel Reliability - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-01-08 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7582897003 - Excerpt: Engineering Manager, Kernel Reliability 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. The Role We're looking for a deeply technical, hands-on engineering leader for our on-field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings. If you have proven expertise in software ### Sr AI Machine Learning Engineer - The Hartford Financial Services Group, Inc. - Location: 4 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/Hartford-CT/Sr-AI-Machine-Learning-Engineer_R2625794 - Excerpt: Sr AI Machine Learning Engineer 4 Locations posted: Posted Today ### Scaled Customer Success Manager, Startups - OpenRouter - Location: Remote (US), United States (remote) - Salary: Not disclosed - Posted: 2026-06-01 - Apply: https://jobs.ashbyhq.com/openrouter/228539a3-70d8-4d8f-989c-8bd19db4aae0 - Excerpt: Scaled Customer Success Manager, Startups Remote (US), United States About OpenRouter OpenRouter is the unified interface for AI inference, giving developers and organizations access to hundreds of models through a single API. Our platform helps teams choose, route, evaluate, and scale model usage across providers, making it easier to build production AI applications with the right model for every use case. As inference becomes a core operating layer for modern software companies, OpenRouter helps customers move faster, reduce complexity, and get more value from the rapidly evolving model ecosystem. About the Role We're looking for a Scaled Customer Success Manager, Startups to build and own the post-sale engine for OpenRouter's startup ecosystem. This is a builder role, not a scaled nurture role. OpenRouter's startup ecosystem is one of the company's most important growth surfaces, powered in part by the OpenRouter for Startups program, which helps AI-native companies access credits, infrastructure, and multi-model tooling to build and scale faster. - Your job is to make that ecosystem work at scale. - You'll own the startup customer journey from program approval and onboarding through activation, retention, expansion, and Enterprise readiness. You'll also own day-to-day program operations and communications across the OpenRouter for Startups ecosystem, while helping launch new initiatives, workflows, and partner programs over time. What You'll Do Build the Startup Success Engine - Own the scaled success motion for OpenRouter's startup and scaled customer portfolio. - Partner cross-functionally to iterate and refine the operating system for startup activation, retention, growth, and ### Director of Forward Deployed AI Engineering - Tenex AI - Location: Kansas City Metro, Overland Park, Kansas, United States, Sarasota, FL HQ (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/tenex/b2501a2a-4a55-40ff-b08c-430d76fbaa53 - Excerpt: Director of Forward Deployed AI Engineering Kansas City Metro, Overland Park, Kansas, United States, Sarasota, FL HQ Company Overview TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We combine cutting-edge AI with human expertise to deliver security operations that are better, faster, and more cost-effective than traditional approaches. We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital. Our team is mission-driven, customer-obsessed, and building something that matters - a new standard for how security operations should work. Culture is one of the most important things at TENEX.AI - explore our culture deck at culture.tenex.ai to witness how we embody our values every day. This role is perfect for those already in the Sarasota, FL or Kansas City, MO metro area, or eager to join us. Immerse yourself in a high-performance environment built on integrity, innovation, and a relentless drive to protect our customers. About the Role As Director of Forward Deployed AI Engineering, you lead the most innovative team in the TENEX FDE organization - a dual-function group of customer-embedded engineers and AI & Data Scientists working to solve hard problems and build solutions that scale. You will define how the team engages with customers, how solutions are built and productized, and how AI-native tooling accelerates the work. Job Responsibilities - Lead and scale the Forward Deployed AI Engineering team across its two functions: customer-embedded engineering and AI & Data Science - Own the team's mandate: embed in strategic customer ### Machine Learning: Whole-Body Control - The Bot Company - Location: San Francisco (unspecified) - Salary: Not disclosed - Posted: 2026-02-25 - Apply: https://jobs.ashbyhq.com/thebotcompany/69c93a4a-161a-49c9-89bc-4c3e0c4716e6 - Excerpt: Machine Learning: Whole-Body Control San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Whole-Body Control We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment. What You'll Do - Train whole-body policies for locomotion, manipulation, and coordinated motion. - Build scalable simulation environments ### Machine Learning Technical Lead - Data Engineering, MLO - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-11-21 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200633418/machine-learning-technical-lead-data-engineering-mlo?team=MLAI - Excerpt: Machine Learning Technical Lead - Data Engineering, MLO Cupertino, United States of America Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Ops team at Apple. We build high quality ML datasets, from very small targeted sets to petabyte scale, to train and evaluate ML models that power AI-centric features for many Apple products. Our datasets help power intelligent algorithms on Camera and the Photos app, improve text input experiences (autocorrect, autocompletion, OCR) and more recently feed generative technologies in Apple Intelligence (Image Playground, Genmoji, Writing Tools, Math Notes…) We're looking for an exceptional engineering lead who is passionate about Apple products and values; who loves working with data ops at scale; and who is committed to the hard work vital to continuously improve complex ML data pipelines and data infrastructure. AI-centric products are the future of software; at their core, data is the source code of AI, a key component of innovation and inclusive and fair ML products. We invite you to join us at this exciting time; grow fast and positively impact multiple critical features on your first day at Apple! Our Data team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&D teams in Apple's SWE organization. As a data engineering tech lead, you will be responsible for establishing and executing the strategy for our organization's ML data engine. Collaborate with a variety of partners, ### Senior Machine Learning Software Development Engineer, AI Ops Integration - Amazon - Location: Dublin, IRL (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - 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/10438029/senior-machine-learning-software-development-engineer-ai-ops-integration - Excerpt: Senior Machine Learning Software Development Engineer, AI Ops Integration Dublin, IRL As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Lead the technical design and architecture of production ML/LLM systems end-to-end from data pipelines and model serving to scalable user-facing applications • Architect and build agentic AI solutions that orchestrate complex operational workflows across multiple systems, APIs, and decision points • Define the technical strategy for internal tooling. Designing front-end platforms (dashboards, products) that serve non-technical operations users at worldwide scale • Own ### Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence - Amazon - Location: SGP (unspecified) - Salary: Not disclosed - 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/10423856/principal-customer-success-specialist-gen-ai-customer-success-center-of-excellence - Excerpt: Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence SGP AWS is seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their business processes using AI. Amazon Quick is AWS's enterprise AI platform that enables organizations to transform how work gets done, from knowledge management and research to decision-making and operational workflows. This role focuses on helping customers move beyond AI experimentation to systematic business process reinvention at enterprise scale. You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-powered business planning, execution, and operation transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of enterprises globally. Key job responsibilities Strategic Customer Transformation - Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment. Offering Development & Scaling - Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale. - Synthesize ### SDE IV - GPU Engineer - Speck - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2025-10-09 - Apply: https://job-boards.greenhouse.io/glance/jobs/7213752 - Excerpt: SDE IV - GPU Engineer Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. About the Role As a GPU ### Senior ML Engineer - SEO Science - eBay Inc. - Location: Bengaluru, Karnātaka, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - 401(k) match: listed (not source-backed) - Apply: https://ebay.wd5.myworkdayjobs.com/apply/job/Bengaluru-India/Senior-Applied-Researcher--SEO-Science_R0068798/apply - Excerpt: Senior ML Engineer - SEO Science Bengaluru, Karnātaka, India Exciting opportunity for a Senior Machine Learning Engineer to lead the design and deployment of large-scale AI and ML solutions at scale. Join our innovative team to drive next-generation search, discovery, and content intelligence technologies powering millions of buyers and sellers worldwide. Shape the future of ecommerce with cutting-edge AI and data engineering. ### AI Training Specialist - US (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4763261101 - Excerpt: AI Training Specialist - US (PST) 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 ### Software Architect - SambaNova Systems - Location: San Jose, California, United States (unspecified) - Salary: $245K-$325K - Posted: 2026-06-03 - Mental health support: yes (not source-backed) - Apply: https://sambanova.ai/sambanova-available-positions/?gh_jid=6012016004 - Excerpt: Software Architect San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Architect for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Architect ### Principal Software Engineer, Identity & AI Governance - GitHub - Location: United States (remote) - Salary: $425K-$425K - Posted: 2026-04-09 - Apply: https://careers-githubinc.icims.com/jobs/5284/login - Excerpt: Principal Software Engineer, Identity & AI Governance United States About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is seeking a Principal Software Engineer to shape the future of identity and enterprise AI governance across its platform. Identity is a critical foundation for GitHub's agentic AI ecosystem, enabling secure interactions between users, applications, and AI agents. As AI adoption scales, systems must support trust, authorization, delegation, and policy enforcement at a global scale. In this role, you will lead the architecture of Tier-0 identity and governance services powering authentication, authorization, and policy enforcement for GitHub's ecosystem. These systems must operate with the highest standards of security, reliability, and scalability, serving billions of requests daily. You will partner across Security, Platform, AI, and Product teams to define strategy, drive architecture, and build the identity and governance control plane for GitHub's AI-powered future. Responsibilities Lead and influence design discussions for the overall system architecture of complex products and solutions, ensuring they meet security and compliance requirements. Establish and mentor others in best practices for testing and assuring the quality of solutions, defining success metrics, and producing maintainable code integrated with downstream dependencies. Provide technical leadership during code reviews to ### Senior AI Engineer - Multi-Agent Frameworks - ClickUp - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/clickup/b8ff5d05-8158-42bb-8d87-296848a0e99f - Excerpt: Senior AI Engineer - Multi-Agent Frameworks 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 - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance ### AI/ML Engineer, Applied Data Science - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $172K-$259K - Posted: 2026-04-02 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200653879/ai-ml-engineer-applied-data-science?team=CORSV - Excerpt: AI/ML Engineer, Applied Data Science Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great 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 taking AI from prototype to production at scale? Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? Can you build AI systems that are not just impressive demos, but reliable production tools? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable. Prototype AI solutions to rapidly validate use cases and demonstrate feasibility Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability Implement prompt engineering solutions optimized for legal use cases Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs Develop context engineering approaches that leverage the semantic layer for improved accuracy Implement grounding mechanisms to reduce hallucinations and improve factual ### Staff Machine Learning Engineer, Voice AI - Together AI - Location: San Francisco (unspecified) - Salary: $220K-$280K - Posted: 2026-05-19 - Apply: https://job-boards.greenhouse.io/togetherai/jobs/5140763007 - Excerpt: Staff Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Own the voice inference roadmap end-to-end - ### Partner Solutions Architect - Migration & AI Acceleration, Partner Solutions Architecture - Amazon - Location: Bangkok, THA (unspecified) - Salary: Not disclosed - Posted: 2026-05-26 - 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/10429716/partner-solutions-architect-migration-ai-acceleration-partner-solutions-architecture - Excerpt: 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 partner types ### Director, Software Engineering - SambaNova Systems - Location: San Jose, California, United States (unspecified) - Salary: $245K-$325K - Posted: 2026-06-03 - Mental health support: yes (not source-backed) - Apply: https://sambanova.ai/sambanova-available-positions/?gh_jid=6011958004 - Excerpt: Director, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Engineering Manager for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As an ### Data Scientist II, Enterprise Security Products - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $136K-$184K - 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) - 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/10412905/data-scientist-ii-enterprise-security-products - Excerpt: Data Scientist II, Enterprise Security Products Austin, Texas, USA What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI - at the same time. This role is a chance to shape the future of security tooling with a small, fast team that ships like a startup but deploys at Amazon scale. We're looking for a Data Scientist who thrives at the intersection of applied ML, agentic AI, and security. You'll design and deploy models that detect threats, power intelligent agents, and make security decisions at cloud scale. You'll work shoulder-to-shoulder with SDEs, applied scientists, security researchers, and PMs on a team where the best idea wins, regardless of title or tenure. Key job responsibilities * Build the intelligence behind AI-first security products: Design, train, and ship ML models that power agentic systems, anomaly detection, threat classification, and automated response - all running across multi-cloud environments. * Own the full science lifecycle: From problem framing and data exploration through model development, evaluation, production deployment, and monitoring. You build it, you ship it, you run it. * Build with AI to build AI: Use agentic coding tools, LLM-powered workflows, and experimental AI tooling to accelerate every phase of your work; from EDA to feature engineering to model iteration. Multiply your velocity and raise the bar for what one scientist can deliver. ### Research, Post-Training - Cognition IP - Location: San Francisco | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/cognition/72d3db28-07d3-4c28-b49f-1bdf6e8e0f10 - Excerpt: Research, Post-Training San Francisco | OnSite WHO WE ARE We are an applied AI lab building end-to-end software agents. We're the team behind Devin, the first AI software engineer, and Windsurf, an AI-native IDE. These products represent our vision for AI that doesn't just assist engineers, but works alongside them as a genuine teammate. Our team is small and talent-dense: world-class competitive programmers, former founders, and researchers from the frontier of AI, including Scale AI, Palantir, Cursor, Google DeepMind, and others. ROLE MISSION Post-training is the critical bridge between raw model capability and a system that is actually useful, safe, and effective in the real world. You will shape how our agents learn by iterating on training recipes, evaluations, and alignment methods that directly determine what Devin and our future systems can do. This role blends deep research and hands-on engineering. We don't distinguish between the two. WHAT YOU'LL ACCOMPLISH - Post-Training Recipe Development: Iterate on the full stack of datasets, training stages, and hyperparameters that determine model behavior. Measure how choices compound across evals and production performance, not just isolated benchmarks. - Evaluation Design and Integrity: Build evals that actually capture what matters. The loop never ends: define, optimize, realize the gaps, and rebuild. You'll be responsible for making numbers go up and making sure the numbers mean something. - Deep Understanding: When training produces results that don't make sense, you dig until you understand why. The goal isn't just to fix it; it's to carry that understanding forward ### AI Trainer - Advanced Java Developers (US & Canada) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4579505101 - Excerpt: AI Trainer - Advanced Java Developers (US & Canada) Remote AI Trainer - Advanced Java Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Java Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Java developer skills and verifiable professional experience as a Java developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### Staff Product Manager, AI Platform - Databricks - Location: San Francisco, California (unspecified) - Salary: $182K-$250K - Posted: 2026-02-18 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8420609002 - Excerpt: Staff Product Manager, AI Platform San Francisco, California RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle - from feature engineering and model training to model serving and monitoring - enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform - connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into ### Principal AI/LLM Agent Architect - Oracle Corporation - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://eeho.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/jobsearch/requisitions/job/331081 - Excerpt: Principal AI/LLM Agent Architect United States Design the production AI agent architecture for Oracle Health and serve as a founding technical leader for a new AI engineering team building enterprise-scale agent platforms, AI workflows, and governed analytics solutions. ### Lead AI Engineer - Hilbert - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-02-26 - Apply: https://jobs.ashbyhq.com/hilberts/e82b2438-b205-4ffb-8545-4ad36135e220 - Excerpt: Lead AI Engineer San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. We're looking for a Lead AI Engineer who can own the technical direction of Hilbert's AI stack, ship production-grade systems hands-on, and elevate a growing engineering team - all with the ownership and urgency of a founder. This is not a "manage from a distance" role. You'll write code, make architecture calls, set the bar for quality and velocity, and build the engineering culture as we scale. You're the person the team looks to when the problem is ambiguous, the stakes are high, and the path forward hasn't been written yet. If you combine deep technical craft with the ability to lead people and communicate with clarity, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and e-commerce. We're scaling fast with top-tier investors behind us. The AI stack is the product - which means engineering leadership here has direct, measurable impact on enterprise customers and revenue. We're a small, talent-dense, low-ego team. ### Growth Marketer, AI Platform - Kizen - Location: New York, New York, United States (onsite) - Salary: $175K-$220K - Posted: 2026-03-23 - Apply: https://kizen.com/jobs?gh_jid=5162533008 - Excerpt: Growth Marketer, AI Platform New York, New York, United States Location: New York (Grand Central), NY (In-office 4x per week) About Us Kizen's Platform, AI Agents & True Context Technology (TCT) power millions of mission-critical experiences for leading organizations in highly regulated industries (insurance, healthcare, financial services). Our platform helps organizations automate the workflows that matter most - from helping insurance agents manage contracting and commissions, to enabling healthcare providers to deliver proactive patient care, to empowering financial institutions to classify documents and extract data automatically. And that's just the beginning. With Kizen, developers can build new enterprise applications and impactful AI agents, while business users can customize dashboards and agents using natural language, low-code, or code - all on the same platform. What used to take months or years to build, configure, and connect now takes just days. Kizen combines powerful pre-built agents and use cases with an enterprise platform for automation and data connection - all built on an AI-first architecture that's easy to adopt, scale, and trust. We're solving real operational problems and helping the world's most complex organizations work faster, smarter, and more humanely. Join us in transforming how industries work - one workflow, one agent, and one customer success story at a time. About the Role Are you ready to rewrite the growth playbook for the AI era? We are looking for a hands-on Growth Marketer with a history of scaling high-growth B2B SaaS companies and building robust revenue pipelines as we bring our next-gen ### Account Executive- Data as a Service - Snorkel AI - Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) (hybrid) - Salary: Not disclosed - Posted: 2026-04-07 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/5840801004 - Excerpt: Account Executive- Data as a Service New York City, NY (Hybrid); Redwood City, CA (Hybrid); 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! Account Executive - Data-as-a-Service (DaaS) 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 production-ready systems. We work with some of the world's largest organizations to ### Staff/ Principal Architect - Astera Labs - Location: Tel Aviv-Yafo, Tel Aviv District, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4699636005 - Excerpt: Staff/ Principal Architect 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 . 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 We are seeking an experienced Staff/ Principal Architect to lead the architecture of high-performance connectivity solutions, with a strong focus on PCIe, high-speed networking, and Ethernet-based systems. This role will define next-generation architectures for AI infrastructure, working at the intersection of silicon, system, and protocol design . You will play a key role ### AI Trainer – Psychologists (EST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761604101 - Excerpt: AI Trainer – Psychologists (EST) 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 ### AIML - Senior ML Engineer, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667798/aiml-senior-ml-engineer-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Senior ML Engineer, Responsible AI and Safety Cupertino, United States of America Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple's Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you'll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we'll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. You'll also contribute to forward‑looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale. Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation. These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, ### Distinguished Technologist, Private Cloud AI - Hewlett Packard Enterprise - Location: San Jose, California, United States of America (hybrid) - Salary: Not disclosed - Posted: 2026-04-19 - 401(k) match: listed (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/San-Jose-California/Distinguished-Technologist--Private-Cloud-AI_1203997-2/apply - Excerpt: Distinguished Technologist, Private Cloud AI San Jose, California, United States of America Exciting opportunity for a distinguished technologist to lead AI architecture and technical design for private cloud solutions. Drive innovation in agentic and generative AI, shape scalable AI platforms, and mentor top talent. Join us to influence the future of AI at scale and make a global impact in a dynamic, hybrid environment. ### AI Platform Engineer - eBay Inc. - Location: Bengaluru, Karnātaka, India (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - 401(k) match: listed (not source-backed) - Apply: https://ebay.wd5.myworkdayjobs.com/apply/job/Bengaluru-India/AI-Platform-Engineer_R0074428/apply - Excerpt: AI Platform Engineer Bengaluru, Karnātaka, India Exciting opportunity for an AI Platform Engineer to design and build scalable AI-driven platforms at eBay. Leverage your expertise in Python, MLOps, distributed systems, and cloud-native technologies to power next-generation AI solutions. Collaborate with top talent and drive innovation in a global, high-impact environment. Join us and shape the future of AI at scale! ### AI Trainer - Advanced Java Developers - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4579491101 - Excerpt: AI Trainer - Advanced Java Developers Remote AI Trainer - Advanced Java Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Java Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Java developer skills and verifiable professional experience as a Java developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks such ### AI Lab - Junior Machine Learning Engineer - Hewlett-Packard - Location: Sant Cugat del Valles, Barcelona, Spain (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://hp.eightfold.ai/careers/job/28359544 - Excerpt: AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain ### Website Developer - Bellevue - Aircall - Location: Seattle Office (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/aircall/cee775a1-2ac3-4ed3-8fac-72b87a602dc3 - Excerpt: Website Developer - Bellevue 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. 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, ### Senior Human Resources Business Partner - Aircall - Location: Seattle Office (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/aircall/ffdee067-fb52-46c9-a53e-0c8a99352637 - Excerpt: Senior Human Resources Business Partner 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. 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 ### Strategic OCI & AI Infrastructure Lead - Oracle - Location: United Kingdom, GB (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://careers.oracle.com/en/sites/jobsearch/job/335647/ - Excerpt: Strategic OCI & AI Infrastructure Lead United Kingdom, GB Oracle is seeking a senior leader to serve as a Strategic OCI & AI Infrastructure Lead within the Global AI Infrastructure & Strategic Pursuits organization. This role is not a traditional account role. This role requires deep technical and commercial skills, enabling complex customer engagements. This Lead will operate at the intersection of hyperscale AI infrastructure, complex customer environments, and high-stakes commercial outcomes. This includes owning and scaling some of the most demanding AI and cloud deployments globally, across enterprise, high-growth startups, strategic AI installations, or international markets (Europe, Middle East, APAC, and Latin America). This role requires equal comfortability discussing GPU cluster architecture and leading multi-million-dollar Cloud commercial negotiations. Key Responsibilities Strategic Customer Ownership Serve as the point of accountability for a portfolio of high-value AI/OCI customers within your assigned segment Operate a high-touch, deeply embedded engagement model-this is not transactional account management Build executive-level trust while staying close to day-to-day technical realities Infrastructure Performance & Optimization Help drive health, performance, and efficiency of large-scale OCI environments and compute fleets Help drive meaningful improvements in utilization, cost efficiency, and architectural design Act as the escalation quarterback. When things break, you bring clarity and resolution fast Capacity, Supply & Scale Planning Translate customer growth projections into real infrastructure plans (compute, storage, networking) Anticipate constraints before they happen. Capacity is your problem to solve, not react to De-risk large-scale deployments by aligning supply with demand across global regions Cross-Functional Execution Leadership Orchestrate ### Strategic Infrastructure Modernisation Consultant, AWS Professional Services - Amazon - Location: Perth, Western Australia, AUS (remote) - Salary: Not disclosed - Posted: 2026-05-04 - 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/10409789/strategic-infrastructure-modernisation-consultant-aws-professional-services - Excerpt: Strategic Infrastructure Modernisation Consultant, AWS Professional Services Perth, Western Australia, AUS AWS Professional Services is seeking a Strategic Infrastructure Modernisation Consultant to lead the design and deployment of a modern digital foundations architecture and enterprise AI platform for one of Australia's largest mining and resources companies. This is a Perth-based engagement to implement an edge-to-cloud architecture across 18 remote operational sites, scale an AI platform from initial deployment to enterprise-grade operations supporting 500+ concurrent agents, and deliver a sequenced pipeline of AI use cases. The program has already validated the target architecture and deployed the initial AI platform during its first year. You will be the senior technical leader for the platform and infrastructure stream, responsible for architecture implementation, multi-site rollout, AI platform hardening, and operational transition. You will lead a team of 7 engineers spanning MLOps/DevOps, cloud platform, network/IoT, and data engineering. Key job responsibilities Platform and Architecture Leadership - Lead implementation of the approved target architecture (edge-to-cloud, security, connectivity, observability) across operational sites - Harden the AI platform for enterprise-scale operations - 500+ concurrent agent capacity, full governance framework, CI/CD pipelines - Deploy repeatable patterns for scalable site-by-site rollout - Implement modern data transfer patterns from edge-to-cloud with single-source-of-truth data access - Integrate with existing third-party platforms AI Platform Scale-Out - Scale production agents across Operations, Maintenance, and Commercial domains - Implement full governance framework - guardrails, audit trails, cost accounting, agent lifecycle management - Enable citizen development patterns - self-service agent creation with appropriate guardrails Executive Engagement ### ML Systems Performance Engineer - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-01-21 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7599454003 - Excerpt: ML Systems Performance Engineer 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 Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate ### AI Trainer - Advanced Urdu Fluency (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4747724101 - Excerpt: AI Trainer - Advanced Urdu Fluency (PST) Remote AI Trainer - Advanced Urdu Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Urdu Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Urdu. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI ### BDR Manager - Aircall - Location: London Office (unspecified) - Salary: Not disclosed - Posted: 2026-03-31 - Apply: https://jobs.lever.co/aircall/19a7a44c-db30-46f6-a59b-1ab13a9d5e62 - Excerpt: BDR Manager London Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, ### AI Silicon Physical Design Engineer - Cerebras Systems - Location: Remote, California, United States; Sunnyvale, CA (remote) - Salary: $150K-$250K - Posted: 2025-04-21 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6549894003 - Excerpt: AI Silicon Physical Design Engineer Remote, California, United States; Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture. Skills & Qualifications - 10+ years of physical design & physical verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Strong experience in block/subsystem timing closure. - Expert at optimizing for the ### AI Educator - Higgsfield - Location: San Francisco / Los Angeles, California, USA (unspecified) - Salary: $110K-$125K - Posted: 2026-01-14 - Apply: https://jobs.ashbyhq.com/higgsfieldai/381bdce4-7aa1-4db5-b6ae-4411af8ee793 - Excerpt: AI Educator San Francisco / Los Angeles, California, USA About Higgsfield Higgsfield AI is the leading video AI company redefining synthetic media on socials. The company is entering its next stage of scale with $200M+ run-rate sales in just 9 months after launch, and a fresh $130M Series A. Who we are looking for - Deep understanding of generative AI workflows for video, creative, marketing, and advertising use cases. - Strong hands-on content creation skills across AI video, UGC, social content, and creative storytelling. - Exceptional communication and presentation abilities, with the ability to simplify complex AI concepts for both technical and non-technical audiences. - Experience educating teams, leading workshops, onboarding users, or training enterprise stakeholders. - Passion for helping brands, creators, and sales teams understand how AI changes modern content production. - Strong curiosity around emerging AI tools, creative trends, and the future of synthetic media. What you will work on - Enterprise product demos : Lead structured, high-impact product demos for client stakeholders, tailored to specific use cases, industries, and workflows, while clearly communicating product capabilities and roadmap. - Educational sales tools & thought leadership : Develop keynote decks, presentations, and storytelling content for industry events and client meetings that position Higgsfield as a leader in GenAI creative. - Sales enablement assets : Partner with B2B sales to create personalized, brand-relevant creative assets for pitches, including branded UGC videos, editorial imagery, and ad concepts that clearly demonstrate Higgsfield's value for each client. - Client adoption and training : ### Lead AI Engineer, Data Solutions - Salesforce - Location: California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York (unspecified) - Salary: $208K-$286K - Posted: 2026-05-29 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://careers.salesforce.com/en/jobs/jr341433/lead-ai-engineer-data-solutions/ - Excerpt: Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop ### Principal Engineer - AI Products & Platform, Remote - Aledade - Location: Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-03-13 - Parental leave: 12 weeks (not source-backed) - 401(k) match: 4% (not source-backed) - Apply: https://jobs.lever.co/aledade/428933a9-1cab-4fb0-9c03-e5494d7aed0c - Excerpt: Principal Engineer - AI Products & Platform, Remote Remote, United States As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered product ecosystem: from architecting the foundations of next‑generation agentic and AI‑enabled experiences, to scaling our platform to millions of users worldwide. Reporting to our SVP of Engineering and collaborating closely with our Distinguished Engineer, you'll set technical direction across a broad horizontal product space, guide dozens of engineering teams, and build systems from V0 through V2 that are both innovative and production‑ready. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company's next chapter. As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered product ecosystem: from architecting the foundations of next‑generation agentic and AI‑enabled experiences, to scaling our platform to millions of users worldwide. Reporting to our SVP of Engineering and collaborating closely with our Distinguished Engineer, you'll set technical direction across a broad horizontal product space, guide dozens of engineering teams, and build systems from V0 through V2 that are both innovative and production‑ready. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company's next chapter. Primary Duties: - Architect complex systems and make critical technical decisions. - Solve challenging technical problems with innovative solutions. - Mentor engineers and promote engineering ### Director of Production (R4782) - Shield AI - Location: Dallas, Texas (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Apply: https://jobs.lever.co/shieldai/8b747653-dba8-4133-9056-eeedc162dbcd - Excerpt: Director of Production (R4782) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Do you thrive at the intersection of high-stakes execution and advanced technology? Shield AI is seeking a Director of Production to lead our U.S.-based manufacturing operations and help scale the future of autonomous defense systems. You'll drive execution across factory floor operations, partner cross-functionally with quality, engineering and supply chain teams, and ensure our production systems are ready for what's next. We're looking for a bold, hands-on leader who can inspire teams, architect production systems, and scale operations with intensity, precision, and a clear mission in mind. Job Description: Do you thrive at the intersection of high-stakes execution and advanced technology? Shield AI is seeking a Director of Production to lead our U.S.-based manufacturing operations and help scale the future of autonomous defense systems. You'll drive execution across factory floor operations, partner cross-functionally with quality, engineering and supply chain teams, and ensure our production systems are ready for what's next. We're looking for a bold, hands-on leader who can inspire teams, architect production systems, and scale operations with intensity, precision, and a clear mission in --- Source-backed benefit claims include source links; other benefit values are labeled separately.