# FewerJobs export - 100 curated jobs Generated: 2026-11-10T23:05:45.579Z 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**: 4 - **per_page**: 100 - **sort**: relevance ## Jobs ### AI Trainer - Advanced Japanese Fluency (GER) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750685101 - Excerpt: AI Trainer - Advanced Japanese Fluency (GER) 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 ### AI Trainer - Advanced Arabic Fluency (PST) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720324101 - Excerpt: AI Trainer - Advanced Arabic Fluency (PST) 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 ### Director / Senior Director, Critical Facility Operations - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762028003 - Excerpt: Director / Senior Director, Critical Facility Operations 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 At Cerebras, we build systems that redefine the scale of compute. That ambition extends beyond silicon into the infrastructure that powers it. We are looking for a Director / Sr. Director of Critical Facility Operations to lead the environments that enable next-generation AI workloads. This leader will own availability, operational integrity, and performance across a colocation-driven data center footprint-ensuring our infrastructure operates with precision, predictability, and zero room for error. This is not a traditional facilities role. You will operate at ### AI Researcher, Core ML (Turbo) - Together AI - Location: San Francisco (unspecified) - Salary: $200K-$280K - Posted: 2024-01-16 - Apply: https://job-boards.greenhouse.io/togetherai/jobs/4187681007 - Excerpt: AI Researcher, Core ML (Turbo) San Francisco About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together's API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems-for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS-grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You'll work across the stack-from RL algorithms and training engines to kernels and serving systems-to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal. Requirements We don't expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are ### Staff Software Engineer, Inference Cloud - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: Not disclosed - Posted: 2024-07-12 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6053533003 - Excerpt: Staff Software Engineer, Inference Cloud Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Location: Sunnyvale We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. This is a hands on IC role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay ### AI Trainer - Advanced Arabic Fluency (Germany) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750635101 - Excerpt: AI Trainer - Advanced Arabic Fluency (Germany) 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 ### Kernel Engineer - Cerebras Systems - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2025-10-06 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7486714003 - Excerpt: Kernel Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The 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 algorithms that maximize ### AI Trainer - Computer Scientist (CAN) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761600101 - Excerpt: AI Trainer - Computer Scientist (CAN) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of ### AI Trainer - Advanced Japanese Fluency (FR) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750683101 - Excerpt: AI Trainer - Advanced Japanese Fluency (FR) 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 Mechanical Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $190K-$230K - Posted: 2026-01-08 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7522557003 - Excerpt: Senior Mechanical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide ### AI Trainer - Industrial Engineers (Remote) - Prolific - Location: Remote (remote) - Salary: $40-$75/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4708532101 - Excerpt: AI Trainer - Industrial Engineers (Remote) Remote AI Trainer - Industrial Engineers 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 Industrial Engineers 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 $40-$75p/h per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Verified status as a Industrial engineer (e.g., by providing a professional profile that shows both educational and professional experience) Recent clinical experience and comfort evaluating clinical reasoning and decision-making Willingness to complete a short skills/eligibility screener to join our Domain Expert pool Strong attention to detail and the ability to focus on complex tasks for up to one hour A reliable, fast internet connection and access to a computer Willingness to self-declare earnings (participants are self-employed) A PayPal account to receive payments from our clients What you'll be doing in the role ### Mechanical Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $180K-$200K - Posted: 2026-05-29 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7752149003 - Excerpt: Mechanical 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. The Role: As a Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide comprehensive support for ### Statistics Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $6-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4603887101 - Excerpt: Statistics Specialist - Freelance AI Trainer Project United States of America Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline data analysis for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for statistics specialists who live and breathe probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You'll challenge advanced language models on topics like statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on data scenarios and theoretical statistics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in statistics, data science, mathematics, or a closely related field is ideal; peer‑reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your statistics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after ### Machine Learning Fellow - Human Frontier Collective (UK) - Scale AI - Location: United Kingdom (remote) - Salary: Not disclosed - Posted: 2026-02-12 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4661647005 - Excerpt: Machine Learning Fellow - Human Frontier Collective (UK) United Kingdom PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine ### AI Training - Lawyers (EST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4748933101 - Excerpt: AI Training - Lawyers (EST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Lawyers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Lawyers to help train and evaluate cutting-edge AI models using real legal expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a qualified Lawyer (e.g., practicing solicitor/attorney, barrister, in-house counsel, paralegal with significant legal experience) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as ### Senior Software Engineer, AI Job Orchestration - firmus - Location: Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-04-24 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5157063008 - Excerpt: Senior Software Engineer, AI Job Orchestration 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. Role Summary As a Senior Software Engineer on the AI and Applications team, you'll own the control plane that powers AI workload submission across Firmus AI Platforms. You'll design and build unified job submission APIs, CLI, and web interfaces for training, inference, and fine-tuning workloads on Kubernetes and Slurm-implementing RBAC, multi-tenant isolation, resource quotas, and intelligent scheduling policies (priority classes, pre-emption, fairness). You'll create template catalog for ### AI Trainer - Advanced Japanese Fluency (US) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720327101 - Excerpt: AI Trainer - Advanced Japanese Fluency (US) 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 Software Engineer, Handshake AI - Handshake - Location: San Francisco, CA, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-16 - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Mental health support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/handshake/6a644ba3-0afd-441c-a8d6-38e12ff0624a - Excerpt: Senior Software Engineer, Handshake AI San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ### Machine Learning Infra Engineer - Reducto - Location: San Francisco Office | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/reducto/df35cc55-1783-402d-b0d9-ca1352f50d0b - Excerpt: Machine Learning Infra Engineer San Francisco Office | OnSite ABOUT REDUCTO Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. THE OPPORTUNITY As an ML Infra Engineer, you'll play a key role in building the inference and training frameworks that make it possible to deliver results at scale. You'll collaborate closely with our ML and Platform teams to scale training across nodes, develop faster and more efficient serving, and create observability across the stack. This is a high-impact role where you'll help define what high performance ML training and inference look like at Reducto. WHAT YOU'LL DO - Build, and maintain our training and inference stack with an emphasis for fast iteration on training + flexibility for exploring new methods and high performance in inference. - Develop benchmarks for both sets of stacks to identify bottlenecks. - Explore SOTA advances in training and inference and work to apply them. - Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability. - Scale ### Enterprise Account Executive (Financial Services) - Scale AI - Location: New York, NY; San Francisco, CA (unspecified) - Salary: $200K-$230K - Posted: 2026-04-28 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4689917005 - Excerpt: Enterprise Account Executive (Financial Services) New York, NY; San Francisco, CA The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: - Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations - Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) - Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy - Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption - Lead complex ### Machine Learning Engineer - Krea - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-07-31 - Apply: https://jobs.ashbyhq.com/krea/06a135f6-fb4c-446c-ac99-be1af655b964 - Excerpt: Machine Learning Engineer San Francisco, California, United States About Krea At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats-text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: - Train foundation diffusion models for image and video generation. - Train controllability modules such as IPAdapters or ControlNets. - Develop novel research techniques and put them into production. - Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets Example experience and skills we're looking for - Proven track record in working with image or video models at scale (publications or open-source contributions a plus) - Strong background in deep learning frameworks and distributed training paradigms. - Ability to iterate rapidly, and propose creative research directions A bit more about us We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI. ### Gen AI Engineering Senior Director - U.S. Bancorp - Location: Chicago, IL, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Chicago-IL/Gen-AI-Engineering-Senior-Director_2026-0016498/apply - Excerpt: Gen AI Engineering Senior Director Chicago, IL, United States The Gen AI Engineering Senior Director leads the strategy, architecture, and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. The Director ove... ### AI Training - Lawyers (CAN) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4748937101 - Excerpt: AI Training - Lawyers (CAN) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Lawyers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Lawyers to help train and evaluate cutting-edge AI models using real legal expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a qualified Lawyer (e.g., practicing solicitor/attorney, barrister, in-house counsel, paralegal with significant legal experience) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as ### AI Security Architect- ARC, Apple Information Security - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $172K-$259K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667273/ai-security-architect-arc-apple-information-security?team=SFTWR - Excerpt: AI Security Architect- ARC, Apple Information Security Cupertino, United States of America We are seeking an AI Security Architect with deep expertise across security architecture, AI/ML systems, and threat modeling to join the Apple Information Security (AIS) Assurance ARC team. You will own security guidance for the most critical, high-risk AI initiatives across Apple, shaping architecture patterns, conducting design reviews, selecting or building security solutions for AI-driven environments, and translating expert decisions into AI-powered guidance that scales across the entire organization. Your work will directly determine how safely and confidently Apple adopts AI at scale. Our scope spans across Apple's products, services, and operations, where the adoption of AI is accelerating at an unprecedented pace. The Assurance ARC organization is entrusted with providing expert security architecture guidance for these AI systems, and your contributions will directly impact our ability to protect against evolving AI-specific threats while enabling the business to innovate securely at scale. In this high-impact role, you will bridge the gap between traditional security practices and emerging AI risks. Operating under Zero Trust principles and Secure by Default framework, you will partner with engineering, data science, product, and compliance teams to build "paved roads" - pre-approved, reusable, secure-by-default patterns that enable teams to build AI-driven systems without a bespoke review for every project. you will amplify the effectiveness of the entire security function, by reducing inbound request volume through proactive foundational work and providing developers, ML engineers, and traditional security architects with clear guidance and standardized controls, Leveraging ### AI Data Scientist - Gamma - Location: San Francisco, California, United States (unspecified) - Salary: $180K-$310K - Posted: 2025-11-09 - Apply: https://jobs.ashbyhq.com/gamma/a7043f8c-fd04-46fb-a5d9-e4b8845ba10d - Excerpt: AI Data Scientist San Francisco, California, United States About the role You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI outputs into insights that shape how millions of people create content. With over 1 million AI-generated presentations and 5 million AI images created daily, the signal is enormous. Your job is to find the patterns, measure what matters, and help us ship better features faster. You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma. You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform - Dig into AI model outputs ### AI Trainer - Advanced Korean Fluency (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750651101 - Excerpt: AI Trainer - Advanced Korean Fluency (PST) Remote AI Trainer - Advanced Korean 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 Korean 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 Korean. 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 Backend & AI Engineer, Madrid - Aircall - Location: Madrid Office (unspecified) - Salary: EUR 80K-120K - Posted: 2026-06-03 - Apply: https://jobs.lever.co/aircall/d093fdcb-f648-46e1-8b4f-8e547ebe673c - Excerpt: Staff Backend & AI Engineer, Madrid 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 by ### Engagement Manager - Scale AI - Location: San Francisco, CA; New York, NY (unspecified) - Salary: $161K-$201K - Posted: 2026-04-20 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4687050005 - Excerpt: Engagement Manager San Francisco, CA; New York, NY Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners. You will: - Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback - Manage customer communication, action items, and follow-ups across multiple concurrent projects - Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions - Review, track and improve operational performances and be obsessed with continuous improvement - Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers Ideally you'd have: - 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination - A track record ### AIML - Sr Machine Learning Engineer, Responsible AI - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200636400/aiml-sr-machine-learning-engineer-responsible-ai?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer, Responsible AI Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand ### Staff Site Reliability Engineer – Automation and Platform - Cerebras Systems - Location: Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada (remote) - Salary: Not disclosed - Posted: 2025-10-03 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7487314003 - Excerpt: Staff Site Reliability Engineer – Automation and Platform Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts ### Machine Learning Engineer - Arena - Location: Bay Area, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-18 - Apply: https://jobs.ashbyhq.com/arena/eaeb1f28-cca9-468d-abcf-5ff412ad75de - Excerpt: Machine Learning Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You'll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, ### AI Trainer - Advanced Urdu Fluency (FR) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4747726101 - Excerpt: AI Trainer - Advanced Urdu Fluency (FR) 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 ### Senior Customer Success Manager - firmus - Location: San Francisco, California, US (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5178463008 - Excerpt: Senior Customer Success Manager San Francisco, California, US 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 As an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience, and exposure across the AI industry and be part of shaping what this industry looks like for decades to come. We are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there's minimum bureaucracy between you and the work. Ownership comes early. Whatever ### Senior/Staff AI Algorithms Engineer - Dexterity - Location: Redwood City (unspecified) - Salary: $170K-$225K - Posted: 2025-06-09 - Apply: https://jobs.lever.co/dexterity/ecdf1193-7946-4345-95be-3c1453d15a94 - Excerpt: Senior/Staff AI Algorithms Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement ### Founding AI & ML Engineer - Concourse - Location: New York City | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/concourse/857ee995-cc90-4a76-a15b-c5951b3d385a - Excerpt: Founding AI & ML Engineer New York City | OnSite ABOUT CONCOURSE Concourse builds AI agents for corporate finance teams. We connect core enterprise data sources and deploy AI agents that can analyze the data through natural language, deliver insights in seconds, and enable our customers to make better decisions. Since launching less than a year ago, Concourse has grown extremely rapidly. Our AI agents are deployed across hundreds of high-growth companies, unicorn startups like Persona, Front, Lightmatter, and large public companies - including multiple Fortune 500 customers. Concourse is backed by Andreessen Horowitz, CRV, YC, Standard Capital, and 50+ angel investors from companies like OpenAI, Cursor, Vercel, Brex, Carta, Rippling, 1Password, Deel, Jeeves, and DoorDash. ABOUT THE ROLE We're hiring a Founding AI & ML Engineer to play a key role in the engineering behind our AI agents and define how finance teams interact with LLMs at scale. Your mission is to build, optimize, and scale production-grade AI agents that deliver best-in-class accuracy, reliability, and performance for large enterprise datasets. You'll work across models, prompts, infrastructure, and data systems to push the boundaries of what AI agents can do for finance teams. The right candidate will have a high ownership mentality, infectious energy, and technical expertise to move the company and engineering organization forward. KEY RESPONSIBILITIES - Build and Scale AI Agent Infrastructure: Architect and maintain systems that process hundreds of thousands of queries per month, ensuring accuracy, reliability, and performance across LLM and SQL calls. - Tune and ### Senior Manager, HSE & Operational Systems - firmus - Location: Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-04-02 - Apply: https://job-boards.greenhouse.io/firmus/jobs/5173848008 - Excerpt: Senior Manager, HSE & Operational Systems 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 As an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience, and exposure across the AI industry and be part of shaping what this industry looks like for decades to come. We are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there's minimum bureaucracy between you and the work. Ownership comes early. Whatever ### Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud - Google - Location: Chicago, IL, USA; +3 more (unspecified) - Salary: $186K-$270K - Posted: 2026-06-11 - 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=CiUAL2FckQD_9fT8xbBrdKjUYxHqkyxbcLggmPg4gO6Cg3DvIFcZEjsACxwdTEA4wx3EgfSxyKGaCWfqsZ892rAcZYGzMWDadLVR0v3VgnqqXk8uuREUdyrHRv0WpqEov_Vb8Q%3D%3D_V2&loc=US&title=Scaled+Services+Strategy+and+Operations+Manager+III - Excerpt: Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000 ### Strategic Projects Lead - Coding - Scale AI - Location: San Francisco, CA; New York, NY (unspecified) - Salary: $112K-$190K - Posted: 2026-02-25 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4666036005 - Excerpt: Strategic Projects Lead - Coding San Francisco, CA; New York, NY Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: - Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins - Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs - Build out pipeline infrastructure to ensure quality and efficiency - Train, coach, and manage dynamic and global teams - Build analytics to make data-driven decisions - Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world - Give regular progress updates to Scale's executive team You Will Have: - A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes - ### Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud - Google - Location: Chicago, IL, USA; +3 more (unspecified) - Salary: $152K-$222K - Posted: 2026-06-11 - 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=CiUAL2FckYIY3RGuY4_ZktT1kqKNWCvsHBwP1y9ZOATayK8QjowREjsACxwdTK3nQryXFQ6lf1jhLUnmPhE5TcRtTIEOJTjFWtgIvMxCiRtadmbMLMZymkWcLpAOs_T-G2frgw%3D%3D_V2&loc=US&title=Scaled+Services+Strategy+and+Operations+Manager+II - Excerpt: Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Manager, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000 ### AI Trainer - Advanced Korean Fluency (Korea) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4666854101 - Excerpt: AI Trainer - Advanced Korean Fluency (Korea) Remote AI Trainer - Advanced Korean 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 Korean 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 Korean. 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 Manager - Advertising & Communication Design - Speck - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2026-02-24 - Apply: https://job-boards.greenhouse.io/glance/jobs/7649446 - Excerpt: Senior Manager - Advertising & Communication Design 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. Role Overview As Senior ### Software Engineering Manager, Emergent AI infrastructure Team - Google - Location: Hyderabad, Telangana, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - 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=CiUAL2FckWMlDmpn3oDtocxks4INKmTb6CNBiz4sKGB0hs3HeY15EjsACxwdTI_R6vHlOK2DHkaUhWc-xFURTr07r_ImXW_eRAY3DbrgOgpsV3Q0WTqLbuFbkQVyJhzLN75luQ%3D%3D_V2&loc=IN&title=Software+Engineering+Manager - Excerpt: Software Engineering Manager, Emergent AI infrastructure Team Hyderabad, Telangana, India Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Emergent AI infrastructure team in Google is looking to build the next generation of on-premises Artificial Intelligence (AI) infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance the state of the art for AI around the world. In this role, you will fully integrate AI infrastructure systems, from hardware to software design and workload management. You will have experience building very large AI clusters using the latest technologies ### AI Trainer - Advanced Spanish Fluency (EU) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720312101 - Excerpt: AI Trainer - Advanced Spanish Fluency (EU) 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 ### Machine Learning Fellow - Human Frontier Collective (Canada) - Scale AI - Location: Canada (remote) - Salary: Not disclosed - Posted: 2026-02-13 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4661650005 - Excerpt: Machine Learning Fellow - Human Frontier Collective (Canada) Canada PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. ### Construction Manager - Crusoe - Location: Childress, TX - US, Childress, TX, United States, Dallas, TX - US (unspecified) - Salary: $136K-$165K - Posted: 2026-05-01 - 401(k) match: 4% (not source-backed) - Mental health support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/crusoe/92b8ee07-1e78-40cc-ac2f-0a98bc9d9fda - Excerpt: Construction Manager Childress, TX - US, Childress, TX, United States, Dallas, TX - US 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: Crusoe is expanding hyperscale AI data center infrastructure across the U.S., delivering large-scale, mission-critical facilities that support America's leadership in AI and high-performance computing. We are building at a pace and scale that ### AI Trainer - Hong Kong - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4671666101 - Excerpt: AI Trainer - Hong Kong Remote AI Trainer - Hong Kong About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainers based in Hong Kong to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $20/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing in your chosen languages Judging the performance of AI in many different forms Improving cutting-edge AI models Why Prolific is a great platform ### Hardware Design Engineering, Senior Director - Active Electric Cable / Smart Cable Module Business - Astera Labs - Location: San Jose, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4702153005 - Excerpt: Hardware Design Engineering, Senior Director - Active Electric Cable / Smart Cable Module Business San Jose, California, United States Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . About Astera Labs Astera Labs is the connectivity backbone of rack-scale AI infrastructure. Our Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms, and rack-scale products deliver purpose-built, high-speed connectivity for the world's most demanding AI clusters. As our product portfolio expands in complexity, performance, and volume - and as OEM customers increasingly adopt Astera Labs silicon into their own designs - we need a senior engineering leader to build and scale the hardware design engineering organization that creates industry-defining products and enables our customers' success. About the Role We are hiring a Senior Director, Hardware Design Engineering to lead and scale Astera Labs' hardware design engineering organization across Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms (SVB/EVB), rack-scale products, and OEM/customer design enablement. This is a senior leadership role with full ownership ### AI Trainer - Advanced Japanese Fluency (Japan) - Prolific - Location: Remote (remote) - Salary: $30-$30/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4666849101 - Excerpt: AI Trainer - Advanced Japanese Fluency (Japan) 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 ### AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI - Meta - Location: Menlo Park, CA; New York, NY (unspecified) - Salary: $219K-$301K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/899841383103112/ - Excerpt: AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Menlo Park, CA; New York, NY The Monetization GenAI Video Gen & Visual Search group, part of the Ads pillar, is building the next generation of generative AI for video - from creation to understanding to transformation - at a scale that reaches billions of users. We develop proprietary foundation models for video generation, video-to-video editing, audio generation (music, voiceover, dubbing), and multimodal video understanding powered by large language models. We produce industry leading video models, and our research translates into products that drive hundreds of millions of dollars in annual advertising revenue. We are looking for a technical leader in AI research to define the research vision across video and audio generation, drive breakthrough research, and shape the technical direction of the organization. Responsibilities: - Lead end-to-end AI research and model development for video-centric generative AI across Meta's advertising surfaces - Drive advancements in video generation & enhancement - Develop video-to-video & audio generation capabilities - Advance video & visual understanding through novel research - Conduct foundation model research to support generative AI innovation - Define research agendas and pioneer new directions in video/audio generation and multimodal understanding Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field - Experience as a technical lead, driving major technical initiatives with cross-functional impact and influencing strategy across multiple teams - 4+ ### Machine Learning Engineer - eBay Inc. - Location: Amsterdam, North Holland, Netherlands (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://ebay.wd5.myworkdayjobs.com/apply/job/Amsterdam/Applied-Researcher_R0074047/apply - Excerpt: Machine Learning Engineer Amsterdam, North Holland, Netherlands Exciting opportunity for a Machine Learning Engineer to join our Foundation Models team at eBay. Build, deploy, and optimize advanced AI and Generative AI systems for large-scale ecommerce. Collaborate with top researchers and engineers to shape the future of intelligent experiences at global scale. Grow your impact in a dynamic, innovative environment. ### AI Trainer - Vietnam - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4671668101 - Excerpt: AI Trainer - Vietnam Remote AI Trainer - Vietnam About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainers based in Vietnam to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $20/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing in your chosen languages Judging the performance of AI in many different forms Improving cutting-edge AI models Why Prolific is a great platform to join as ### Design Technologist, Agentic AI & Marketing Automation - Amazon - Location: New York, New York, USA (unspecified) - Salary: $170K-$230K - Posted: 2026-05-17 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10421913/design-technologist-agentic-ai-marketing-automation - Excerpt: Design Technologist, Agentic AI & Marketing Automation New York, New York, USA Amazon Ads Marketing is building an AI-native team to drive the transformation of the marketing organization to integrate AI into our marketing production process with precision and scale. As a Design Technologist on this team, you will drive the intersection of Agentic AI development, UX design, and marketing operations. You will own the user workflow design, technical delivery, platform operations, and program execution of agentic AI and marketing automation initiatives across our omnichannel production workflows. This role will prototype AI-driven automation experiences, build functional integrations between workflow management systems, agentic AI tooling, and 3P platforms to enable our marketing team to scale communications production across email, portal notifications, and website channels with greater speed, quality, and efficiency. You will serve as the technical and UX bridge between marketing stakeholders and AI engineering teams, turning ambiguous automation concepts into tangible, interactive experiences that teams can evaluate, test with users, and use to move automation projects forward. This role requires hands-on technical execution and technical leadership, you'll implement AI technologies, provide technical integration support, create reusable prototyping frameworks, and develop reference implementations that raise the bar for how the team builds and delivers AI-powered solutions. You will design, execute, and troubleshoot AI-driven solutions, set prototyping standards for the team, and influence UX and technical approaches across adjacent teams to drive operational efficiency at scale. This is a high-impact, high-visibility role. The ideal candidate brings strong prototyping skills, experience with the ### QA Lead (ML Integration and Quality) - Cerebras Systems - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2026-03-03 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647324003 - Excerpt: QA Lead (ML Integration and Quality) Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an ML QA Lead, you ensure quality of Cerebras SW across all supported ML workloads and workflows. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature testing, ML training accuracy and performance, pre deployment/production validation, validating customer workloads and workflows. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. Responsibilities - Drive quality of various ### Principal Engineer, Cluster Orchestration - CoreWeave - Location: Bellevue, WA / Sunnyvale, CA (unspecified) - Salary: $206K-$303K - Posted: 2026-02-27 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://coreweave.com/careers/job?4658799006&board=coreweave&gh_jid=4658799006 - Excerpt: Principal Engineer, Cluster Orchestration Bellevue, WA / Sunnyvale, CA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role CoreWeave runs some of the largest GPU clusters in the world. The AI infrastructure behind those clusters determines how workloads are placed, how resources are shared, and how reliably systems perform under constant pressure. As a Principal Engineer in AI Infrastructure, you will lead the design and evolution of the cluster orchestration systems that make this possible. This includes Slurm, Kubernetes, SUNK, and the control planes that support AI training, inference, and model onboarding at scale. You will define long-term architecture, solve hard scaling problems, and set technical direction across teams. Your work will directly affect how quickly customers can run models, how efficiently we use GPUs, and how reliably the platform behaves at scale. What You'll Do Architecture and Technical Direction - Define the long-term architecture for CoreWeave's orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems. - Act as a technical authority on scheduling, quota enforcement, fairness, pre-emption, and multi-tenant GPU isolation. - Make design decisions that balance performance, ### AI Trainer - Advanced Mandarin Fluency (PST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750695101 - Excerpt: AI Trainer - Advanced Mandarin Fluency (PST) 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 ### Tech Lead Manager, Kubernetes AI Infrastructure - Google - Location: Kirkland, WA, USA; +1 more (unspecified) - Salary: $207K-$301K - Posted: 2026-06-05 - 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=CiUAL2FckQc5BqWamI2XXVwpe0Ll6WSQQlhi7jHN2N1qnenv1dnfEjsACxwdTDYpDys72fLWq7-g5j8nXqVfH4LC879wtDvsRf_-43rVZaILF_h8MlEf7W33r40dso-sRFZkXQ%3D%3D_V2&loc=US&title=Tech+Lead+Manager - Excerpt: Tech Lead Manager, Kubernetes AI Infrastructure Kirkland, WA, USA; +1 more Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. Google is looking to build the next-generation of on-prem AI infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance for AI around the world. Our team is responsible for building reliable and scalable TPU orchestration with Kubernetes. Our goal is to enable customers to effectively and reliably run their GenAI workloads by leveraging Google TPU infra at scale. The team is on a mission to redefine the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer experience with K8s. This is a unique opportunity to join a "special project" team creating a novel ### Strategic Projects Lead, Red Team - Scale AI - Location: San Francisco, CA; New York, NY (unspecified) - Salary: $122K-$190K - Posted: 2026-06-02 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4702122005 - Excerpt: Strategic Projects Lead, Red Team San Francisco, CA; New York, NY Scale's Red Team and Safety function stress-tests the most capable AI models in the world, and shapes how labs, governments, and enterprises deploy them. We are hiring a Strategic Partnerships Lead to own day-to-day partnerships with frontier model developers. This is a hands-on role for someone who is technically curious, comfortable with researchers, and operationally rigorous. You will partner closely with research, operations, and go-to-market. The team Red Team and Safety is a nimble function that stress-tests frontier AI. We partner with major model developers to generate adversarial data, run evaluations, and publish benchmarks across jailbreaks, prompt injection, agentic misuse, LLM-based cyber security, CBRN, political bias, and self-harm. Our work shapes how leading labs train their models and how governments and enterprises deploy them. You will: - Own a portfolio of frontier-lab partnerships day-to-day. Run customer conversations, scope new engagements, and grow accounts from one-off projects into ongoing scope. - Act as a credible subject-matter expert in customer conversations; explain adversarial methodology, vulnerability taxonomies, benchmark findings, and what they imply commercially, in language that lands with technical buyers. - Partner with Enterprise and Public Sector account teams to qualify and close opportunities where safety, red teaming, or LLM-based cyber security are part of the deal. - Coordinate delivery with research and operations leads. Make sure scope, capacity, and timelines line up before we commit, and unblock the team as engagements run. - Contribute to public benchmark launches. Help shape ### AI Engineer, Amazon Business - Amazon - Location: Luxembourg, LUX (unspecified) - Salary: Not disclosed - Posted: 2026-05-07 - 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/10413242/ai-engineer-amazon-business - Excerpt: AI Engineer, Amazon Business Luxembourg, LUX The mission of the Amazon Business EU Product team is to deliver exceptional value to EU business customers through solutions that allow them to use AB in a seamless way while adhering to a compliant Procure-to-pay process of their preference. You will be part of a close-knit team of BI Engineers, Data Scientists, Product managers and stakeholders who are highly collaborative and at the top of their respective fields. We are looking for talented AI Engineer who are adept at a variety of skills that enable deployment and productization of agentic AI models for automation at scale. Every member of the team is expected to build customer-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team. Key job responsibilities • Start with the customer and work backwards to define the set of features to address EU business customer needs for the owned charter. • Gather localized customer and regulatory requirements for MLP (Minimum Lovable Product) launches, and work with central tech teams to incorporate EU-specific customer needs. • Work closely with the technical product leaders to develop AI agents and transform the code into production. - Own end to end deployment at scale of AI solutions. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Document processes and methods for technical and non technical audiences. - Contribute to code ### AI Trainer - Advanced Korean Fluency (UK) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4750660101 - Excerpt: AI Trainer - Advanced Korean Fluency (UK) Remote AI Trainer - Advanced Korean 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 Korean 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 Korean. 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 ### AI Research Scientist, CoreML - Monetization AI - Meta - Location: Sunnyvale, CA; Bellevue, WA; Menlo Park, CA; New York, NY (unspecified) - Salary: $154K-$217K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1380974339703907/ - Excerpt: AI Research Scientist, CoreML - Monetization AI Sunnyvale, CA; Bellevue, WA; Menlo Park, CA; New York, NY We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. Responsibilities: - Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques - Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability - Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding - Design and implement generative modeling solutions for data augmentation - Research and develop graph-aware large language models - Develop and deploy AutoML pipelines - Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason - Use causal learning to identify and understand the cause and effect of relationships across data - Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains - Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, ### Staff Platform Product Manager - Lemonade Inc - Location: TLV, Tel Aviv, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-02-24 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/lemonade/fcd117f2-55d7-459a-a441-0cc6e8ec114e - Excerpt: Staff Platform Product Manager TLV, Tel Aviv, Israel We're looking for a Staff Product Manager to define the long-term vision and strategy for LoCo - Lemonade's next-generation, AI-powered platform that's rebuilding how insurance products are built and launched. Sitting within our core platform team, this role is central to how Lemonade builds, ships, and scales insurance products across the org - and how we continue doing it faster with AI at the center. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll - Define the architecture that determines how Lemonade builds, ships, and scales - for years to come - Drive cross-team alignment on complex technical decisions, turning competing priorities into a clear, executable roadmap - Own the long-term API strategy across multiple domains, creating a unified layer that simplifies onboarding for channel teams and scales with the business - Act as the translation layer between platform engineers and leadership, communicating technical complexity in business terms - Leverage AI to identify patterns, pressure-test architectural decisions, and unlock faster paths to solving platform-scale problems - Own the adoption strategy across ### 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/AI-Machine-Learning-Engineer_R2625795 - Excerpt: AI Machine Learning Engineer 4 Locations posted: Posted Today ### Business Intel Engineer, GO-AI - Amazon - Location: Hyderabad, Telangana, IND (unspecified) - Salary: Not disclosed - Posted: 2026-05-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10415299/business-intel-engineer-go-ai - Excerpt: Business Intel Engineer, GO-AI Hyderabad, Telangana, IND Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL ### Machine Learning Engineer - Foundational - Harmattan AI - Location: Paris, Île-de-France, France (unspecified) - Salary: Not disclosed - Posted: 2026-03-05 - Apply: https://jobs.ashbyhq.com/harmattan-ai/0b4c15f8-5f6b-4c7d-9c5e-27b5041420b0 - Excerpt: Machine Learning Engineer - Foundational Paris, Île-de-France, France About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Machine Learning Engineer on our Foundational team in Paris, you will build the "brain" of our tactical robots. You will design and scale large-scale, multi-modal foundational models that learn robust representations of the battlefield using Self-Supervised Learning (SSL) from massive amounts of unlabelled Electro-Optical (EO) and Infrared (IR) data. Your work provides the critical foundational weights that our Edge AI team distills into hyper-accurate models running on tactical hardware. Responsibilities - Multi-Modal SSL Architecture Design: Design neural network architectures (Vision Transformers) and loss functions (Masked Autoencoders, Contrastive Learning) to jointly learn from paired and unpaired EO and IR data. - Distributed Training Infrastructure: Manage and optimise training pipelines across multi-node GPU clusters, handling mixed-precision training and data loading. - Representation Evaluation: Develop metrics and linear-probing benchmarks to prove the latent space captures useful semantic features before distillation. - Data Strategy: Audit existing EO/IR data lakes and implement cross-attention mechanisms to fuse diverse sensor ### Algorithm and Applied AI Scientist (DSP) - Augury - Location: Haifa (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://www.augury.com/careers/8563603002?gh_jid=8563603002 - Excerpt: Algorithm and Applied AI Scientist (DSP) Haifa Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining Augury's AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis. A Day In Your Life Be the technical lead of an innovative project. Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams. Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC ### Network Engineer - Cerebras Systems - Location: Sunnyvale, CA; Toronto, Ontario, Canada (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762739003 - Excerpt: Network Engineer Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are looking for a Network Architect to join our Cluster Engineering Team and help shape the front-end datacenter and interconnect fabric for the current and next generations of our AI clusters. You will partner closely with hardware vendors, internal networking teams, and industry peers to define best-in-class network architectures that deliver resilient, reliable, and high-throughput connectivity for large-scale AI workloads. This is a deeply technical role that spans the full stack, from host-side networking and NIC behavior up through cluster-level coordination ### AI Trainer - Advanced Spanish Fluency (Spain) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720306101 - Excerpt: AI Trainer - Advanced Spanish Fluency (Spain) 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 ### Principal Engineer, Ecosystem Partnership & Marketing - Astera Labs - Location: Shanghai, China (unspecified) - Salary: Not disclosed - Posted: 2026-03-05 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4667065005 - Excerpt: Principal Engineer, Ecosystem Partnership & Marketing Shanghai, China 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 . Principal Engineer, Ecosystem Partnership & Marketing - Asia Region 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. Learn more at www.asteralabs.com . Are you passionate about creating differentiated products and working with hyperscale and AI platform providers to deploy the next generation of data center infrastructure? We are seeking a highly technical and experienced Principal Ecosystem Partnership & Marketing Manager drive business growth, product adoption, and ecosystem innovation across ### Staff AI Engineer - Multi-Agent Frameworks - ClickUp - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/clickup/1203026f-5c19-45e5-a0c2-b5cc0338a1e8 - Excerpt: Staff 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 highly skilled Staff 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 agent ### Hardware Design Engineering, Director - Active Electric Cable / Smart Cable Module Business - China - Astera Labs - Location: Shanghai Shi, China (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/asteralabs/jobs/4702154005 - Excerpt: Hardware Design Engineering, Director - Active Electric Cable / Smart Cable Module Business - China Shanghai Shi, China 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 . Director, Hardware Design Engineering - AEC / SCM & China Customer Support Reports to: Senior Director, Hardware Design Engineering Location: Shanghai, China - Astera Labs Shanghai Design Center About Astera Labs Astera Labs is the connectivity backbone of rack-scale AI infrastructure. Our Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms, and rack-scale products deliver purpose-built, high-speed connectivity for the world's most demanding AI clusters. As our AEC and SCM product lines scale rapidly to meet hyperscale AI infrastructure demand - and as China-based OEM customers, hyperscale cloud providers, and system integrators increasingly adopt Astera Labs silicon and connectivity products - we are establishing a Shanghai-based hardware design center to drive product development, manufacturing collaboration, and customer engineering support in close proximity to our manufacturing partners and China-based customers. About the Role We are hiring a Director ### Sr. Technical Staff - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $250K-$275K - Posted: 2026-05-08 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728797003 - Excerpt: Sr. Technical Staff Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras Systems Inc. has multiple openings for Sr. Technical Staff. Title: Sr. Technical Staff Job Duties: - Post silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon. - Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality. - Work with the silicon and operations team to test, bring-up and run burn-in on wafers scale systems. - Support manufacturing operations to utilize the wafer bring up flow. Perform wafer ### Data Product Operations Lead - David AI - Location: San Francisco, California, United States, New York City (unspecified) - Salary: Not disclosed - Posted: 2025-02-26 - Apply: https://jobs.ashbyhq.com/david-ai/c3830ffd-265d-46f4-b6b3-997f16781068 - Excerpt: Data Product Operations Lead San Francisco, California, United States, New York City About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Data Operations team Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale. This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach ### Security & IT General Opportunities - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7751790003 - Excerpt: Security & IT General Opportunities 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 Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras' environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization. What You May Work On Depending on the role and team needs, you ### AI Trainer - Advanced Spanish Fluency (Mexico) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4720310101 - Excerpt: AI Trainer - Advanced Spanish Fluency (Mexico) 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 ### Account Director, Government Scale - OpenAI - Location: Washington, DC, Washington, District of Columbia, United States, San Francisco (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/fc45a658-4d02-4e03-b6bc-a83519af1a1d - Excerpt: Account Director, Government Scale Washington, DC, Washington, District of Columbia, United States, San Francisco About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. Our OpenAI for Government team helps public-sector organizations understand, adopt, and deploy highly capable AI products in support of their missions. The team brings together Sales, Solutions, Partnerships, Technical Success, Legal, Policy, and other cross-functional partners to help government customers use AI responsibly and effectively. About the Role We are looking for an Account Director to help build and run our scaled sales motion for federal, state, and local government customers. You will be a first point of contact for government organizations exploring OpenAI, own a portfolio of smaller and mid-sized agencies, and help customers navigate the path from initial interest through a successful commercial engagement. This is a full-cycle sales role. You will qualify inbound demand, create new opportunities, perform targeted outbound outreach, coordinate with resellers and strategic partners, and independently close a defined class of opportunities. You will also recognize when an opportunity should graduate to a senior Account Director and make that transition seamless for the customer. This role is ideal for a seller who combines strong discovery and closing skills with the operational discipline to build a new motion. You will help OpenAI respond to government demand at scale while ensuring that every customer receives clear, accurate, and thoughtful guidance. This role is based in Washington DC or San Francisco. We use a hybrid work model ### Principal Architect - Scale AI - Location: Washington, DC (unspecified) - Salary: $298K-$373K - Posted: 2025-08-22 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4599202005 - Excerpt: Principal Architect Washington, DC Principal Architect Location: Washington, DC About the Role We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment. In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You'll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements. What You'll Do - Team Leadership: Lead and mentor a high-performing engineering team of 80+, fostering a culture of technical excellence and ownership. - Technical Direction: Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. - Executive Stakeholder Engagement: Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. - Strategic Planning & Communication: Develop and communicate a compelling vision for Scale AI's technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. - Culture & Teamwork: Foster a culture of speed, unity of purpose, resilience, and teamwork. Lead through uncertainty with determination and adaptability. What We're Looking For - 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. - Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. - Proficient in one or more modern programming languages (Python, JavaScript/TypeScript) - Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). - Strong product and business sense, ### AI Training - Research Scientist (CAN) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761612101 - Excerpt: AI Training - Research Scientist (CAN) Remote AI Trainer - Research Scientists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and ### Member of Technical Staff, AI Training Infrastructure - Fireworks AI - Location: San Mateo, CA (unspecified) - Salary: $175K-$220K - Posted: 2025-04-21 - Apply: https://job-boards.greenhouse.io/fireworksai/jobs/4000408009 - Excerpt: Member of Technical Staff, AI Training Infrastructure San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Training Infrastructure Engineer, you'll design, build, and optimize the infrastructure that powers our large-scale model training operations. Your work will be essential to developing high-performance AI training infrastructure. You'll collaborate with AI researchers and engineers to create robust training pipelines, optimize distributed training workloads, and ensure reliable model development. Key Responsibilities: - Design and implement scalable infrastructure for large-scale model training workloads - Develop and maintain distributed training pipelines for LLMs and multimodal models - Optimize training performance across multiple GPUs, nodes, and data centers - Implement monitoring, logging, and debugging tools for training operations - Architect and maintain data storage solutions for large-scale training datasets - Automate infrastructure provisioning, scaling, and orchestration for model training - Collaborate with researchers to implement and optimize training methodologies - Analyze and improve efficiency, scalability, and cost-effectiveness of training systems - Troubleshoot complex performance issues in ### Software Development Engineer - Shopping Personalization AI, Amazon Stores - Amazon - Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified) - Salary: Not disclosed - Posted: 2026-05-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10431701/software-development-engineer-shopping-personalization-ai-amazon-stores - Excerpt: Software Development Engineer - Shopping Personalization AI, Amazon Stores Tel Aviv-Yafo, Tel Aviv, ISR Amazon's Personalization organization builds the AI systems behind how hundreds of millions of customers discover and shop. We extract and reason over customer signals in real time, power LLM-driven recommendation experiences, and build AI-native discovery surfaces that combine products, content, and contextual recommendations. Our work sits at the intersection of generative AI, large-scale distributed systems, and customer-facing products, delivered through high-performance web and mobile experiences at Amazon scale. In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build. We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint. Key job responsibilities - Design, build, test, and operate production AI ### AI Training Specialist - North UK - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4763304101 - Excerpt: AI Training Specialist - North UK Remote AI Training Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Training Experts to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay upto of £25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. If that sounds like something that matches your skills, please complete our registration via this link. What you'll bring AI Training task skills and verifiable professional experience as an AI Trainer A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to ### Enterprise Account Executive (Healthcare & Life Sciences) - Scale AI - Location: New York, NY; San Francisco, CA (unspecified) - Salary: $200K-$230K - Posted: 2026-04-28 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4689919005 - Excerpt: Enterprise Account Executive (Healthcare & Life Sciences) New York, NY; San Francisco, CA The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. You Will: - Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives - Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review) - Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial) - Develop and execute multi-threaded account ### SDE-II, AI Core Infra - AI Analytics and Insights - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - 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/10435578/sde-ii-ai-core-infra-ai-analytics-and-insights - Excerpt: SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity, ### AI Trainer - Computer Scientist (EST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761592101 - Excerpt: AI Trainer - Computer Scientist (EST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of ### Director of Safety Engineering, Robotics & Autonomous Systems - FieldAI - Location: Irvine, CA (unspecified) - Salary: Not disclosed - Posted: 2025-12-16 - Apply: https://jobs.lever.co/field-ai/740972be-d76a-49d3-9a74-28ba02ed6336 - Excerpt: Director of Safety Engineering, Robotics & Autonomous Systems Irvine, CA Field AI builds autonomous robotic systems designed to operate in complex, unstructured, and safety-critical real-world environments. Our robots work alongside humans in outdoor settings where uncertainty, scale, and operational risk are fundamental challenges. Safety is a core product capability at Field AI. As our systems transition from advanced R&D into scaled field deployment, we are seeking a Director of Robotics Product Safety to define and lead the company's product safety vision, strategy, and execution. As Director of Robotics Product Safety, you will own Field AI's end-to-end product safety function. You will set the safety strategy for autonomous robotic systems, establish scalable safety processes, and serve as the executive-level authority on product safety across the organization. This role combines deep technical judgment, systems safety leadership, and cross-functional influence. You will work closely with executive leadership, engineering, operations, and external stakeholders to ensure Field AI's robots are safe, deployable, and trusted in the field. Field AI builds autonomous robotic systems designed to operate in complex, unstructured, and safety-critical real-world environments. Our robots work alongside humans in outdoor settings where uncertainty, scale, and operational risk are fundamental challenges. Safety is a core product capability at Field AI. As our systems transition from advanced R&D into scaled field deployment, we are seeking a Director of Robotics Product Safety to define and lead the company's product safety vision, strategy, and execution. As Director of Robotics Product Safety, you will own Field AI's end-to-end product safety ### Account Executive, Scale - Intercom - Location: San Francisco, California (unspecified) - Salary: $132K-$158K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/intercom/jobs/7980879 - Excerpt: Account Executive, Scale San Francisco, California Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What is the opportunity? Are you ready to lead the charge in AI-driven customer service? As a Scale Account Executive, you will be a key member of the team leading the growth of our new business. We're building a world-class sales organization, and the road ahead is going to be very exciting. At Fin, we are striving to do sales differently. We are asking our customers to put Fin at the core of their businesses, and we can only do this by putting them at the core of ours. ### Senior Machine Learning Engineer - Training Platform (AU remote) - Canva - Location: Remote | Sydney, , Australia (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.smartrecruiters.com/Canva/6000000001053314-senior-machine-learning-engineer-training-platform-au-remote- - Excerpt: Senior Machine Learning Engineer - Training Platform (AU remote) Remote | Sydney, , Australia Company Description: Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth & Adelaide. You have flexibility in how and where you work - whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia , so you can choose the setup that empowers you and your team to do your best work. Job Description: About the Group/Team We're part of the Training Platform team within Canva's AI Platform group, which sits in the Generative AI supergroup. Our team is responsible for the systems that power model training at scale, building the foundations that enable teams across Canva to create, train, and scale AI-powered experiences. Our focus is on building reliable, efficient, and developer-friendly training infrastructure - from orchestration and distributed training systems to experimentation and platform capabilities that support large-scale AI workloads. We enable teams across Canva to push the boundaries of what's possible with AI. About the Role/Specialty As a Senior Machine Learning Engineer, you'll focus on designing, scaling, and maturing the systems and ### Engineering Manager, Hybrid and On-prem AI Infrastructure - Google - Location: Warsaw, Poland (hybrid) - Salary: Not disclosed - Posted: 2026-06-08 - 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=CiUAL2FckZ8zexiRRV1XaBBBKupbD_uhgatPvToAHi04TmYXZWnOEjsACxwdTFsIK_jiabm0X6B7irSSJcOX_cbah0TyDomRKIh7JUnGH9kDGa0DLNgYTjBOxWbh5ox2IKru2g%3D%3D_V2&loc=PL&title=Engineering+Manager - Excerpt: Engineering Manager, Hybrid and On-prem AI Infrastructure Warsaw, Poland Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer - the next evolution of Google's AI accelerators hardware. This is an opportunity to join a "special project" team creating a novel solution for customers with sophisticated security and locality requirements. You will be at the heart of building the next generation of AI hardware and the critical software that brings it to life. This is a chance to make a Google-level ### AI Trainer - Advanced Urdu Fluency (EST) - Prolific - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4747722101 - Excerpt: AI Trainer - Advanced Urdu Fluency (EST) 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 ### Senior Revenue Accounting Manager - Scale AI - Location: San Francisco, CA (unspecified) - Salary: $164K-$206K - Posted: 2026-03-04 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4669171005 - Excerpt: Senior Revenue Accounting Manager San Francisco, CA Scale's mission is to accelerate the development of AI applications by providing the highest quality data. We believe that robust financial infrastructure is the backbone that allows our researchers and engineers to innovate at scale. Our Accounting team doesn't just record transactions; we build the systems that enable the next generation of AI breakthroughs. We are looking for a Senior Manager, Technical Revenue Accounting to join our Accounting Team. In this role, you will be the primary orchestrator for revenue integrity at an innovative AI company. You will serve as a technical subject matter expert, architecting solutions for complex transactions and ensuring our financial systems scale as fast as our technology. If you are looking to make a significant impact at the intersection of frontier AI and financial infrastructure, come join us. You will: - Lead Revenue Accounting Team: Oversee monthly accounting close activities, including the review of complex journal entries and key account reconciliations including the management and development of a small team. - Technical Oversight: Ensure strict compliance with ASC 606 and U.S. GAAP; serve as the final word on revenue recognition for both standard and highly bespoke contracts. - Strategic Collaboration : Partner with Finance and Strategy teams on revenue metrics, flux analysis, and long-range forecasting. - Audit Readiness: Lead the preparation of consolidated financial statements and footnotes; act as a primary point of contact for external auditors for all revenue related contracts and matters including developing footnotes and other ### Ads AI Realtime Data, AI Core Infrastructure - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-02-24 - 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/3188351/ads-ai-realtime-data-ai-core-infrastructure - Excerpt: Ads AI Realtime Data, AI Core Infrastructure Bengaluru, Karnataka, IND Amazon Advertising is investing heavily in building AI agent infrastructure that's transforming how millions of advertisers make strategic decisions. We're responsible for defining and delivering the next generation of real-time data platforms that power over 30 advertising agents and skills across Amazon's ecosystem. Our products are strategically important to Amazon's advertising business, processing billions of data points daily. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing rapidly with a wide range of new opportunities. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers-an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data. As a Software Development Manager for this team, you'll lead the engineers building the horizontal platform that enables all 30+ advertising agents and skills to move at speed. You'll own the strategic direction for real-time data ingestion from sources like our data warehouse and Kafka streams, the data processing pipelines that generate pre-computed advertiser context, and the MCP server infrastructure that delivers this data with sub-second latency. This role offers a ### Senior Technical Recruiter - Goodfire - Location: San Francisco, CA (unspecified) - Salary: $120K-$280K - Posted: 2026-01-05 - Apply: https://job-boards.greenhouse.io/goodfire/jobs/5055191008 - Excerpt: Senior Technical Recruiter San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're hiring a Senior Technical Recruiter to build our entire talent acquisition function as we scale. You'll be a hands-on, strategic partner to our founders, owning all hiring across AI/ML research engineering, product, and go-to-market roles. You'll perform full cycle recruiting from sourcing and screening through offer stage while building the recruiting infrastructure that will scale with us. ### 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... --- Source-backed benefit claims include source links; other benefit values are labeled separately.