Member of Technical Staff - US Talent Pool Reasonable AIMember of Technical Staff - US Talent PoolSan Francisco, CAProjects our team is working on include designing evals for state of the art coding models, developing novel post-training paradigms grounded in formal methods, and building the tooling to deliver correctness guarantees in production software engineering. World-class team and environment: an opportunity to build alongside deeply experienced founders, in a well-funded company that’s backed by industry leading VCs and angels including Oriol Vinyals, Zoubin Ghahramani, Jonathan Frankle and Guy Podjarny, amongst many others.
ML Scientist - Adversarial Robustness MercorML Scientist - Adversarial RobustnessSan Francisco, CaliforniaRemote$100–$120 / hourDegree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. Compress models to meet size and latency constraints without losing accuracy.
AI Researcher - Fully Remote MercorAI Researcher - Fully RemoteSan Francisco, CaliforniaRemote$100–$120 / hourDegree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. Compress models to meet size and latency constraints without losing accuracy.
Cloud Support Engineer Crusoe EnergyCloud Support EngineerSunnyvale, CA$125,000–$145,000 / yearWe'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. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology.
Principal Engineer - Flash Transition Layer (FTL) SK hynix memory solutions America Inc.Principal Engineer - Flash Transition Layer (FTL)San Jose, CA$200,000–$240,000 / yearOur cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies.
Applied Researcher I (AI Foundations) Capital OneApplied Researcher I (AI Foundations)San Jose, CaliforniaCurrently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher I Capital OneApplied Researcher ISan Francisco, New YorkBasic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher II Capital OneApplied Researcher IISan Francisco, New YorkCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Capital OneApplied Researcher I (AI Foundations, LLM Core and Agentic AI)San Francisco, New YorkCurrently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
NewApplied Researcher II (AI Foundations, LLM Core and Agentic AI) Capital OneApplied Researcher II (AI Foundations, LLM Core and Agentic AI)San Francisco, New YorkCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher II (AI Foundations) Capital OneApplied Researcher II (AI Foundations)San Jose, CaliforniaCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Research Engineer, Cybersecurity RL (Reinforcement Learning) AnthropicResearch Engineer, Cybersecurity RL (Reinforcement Learning)San Francisco, CAFor example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
Software Engineer - Applied AI Cogent SecuritySoftware Engineer - Applied AISan Francisco, California$100,000–$300,000 / yearExperiment with the latest advancements in long-term reasoning and planning to design systems that allows Cogent to evolve the data flywheel of our AI products from initially highly supervised to eventually autonomous and managed by exception. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
AI/ML Developer Advocate Snorkel AIAI/ML Developer AdvocateRedwood City, CA$132,000–$200,000 / yearWe work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Content Creation: Craft high-quality, developer-focused content—blog posts, white papers, demos, videos, and social media—that educates and inspires.
Software Development Engineer Iii, Search API (Places) MapboxSoftware Development Engineer Iii, Search API (Places)San Francisco, CARemote$194,650–$263,350 / yearThe Search Box team is responsible for building our premium geospatial search engine, seamlessly combining robust address geocoding with comprehensive Point of Interest (POI) retrieval for logistics, travel, automotive, and AI lab platforms. Joining us as a Staff Software Engineer on the Search Box team, you will play a critical role in designing, developing, and operating significant areas of our Search services, including our new Places API product.
AI Software Engineer Bishop FoxAI Software EngineerSan Francisco, CAThis role focuses on building and maintaining agent-based artificial intelligence systems capable of autonomously generating code, conducting security analyses, triaging alerts, identifying vulnerabilities, and recommending remediation strategies, with structured human oversight and validation. The complexity of developing autonomous AI systems that analyze vulnerabilities, evaluate exploit patterns, and integrate securely with enterprise cybersecurity infrastructure requires a highly specialized educational background and cannot be performed without advanced technical training.
Machine Learning Infrastructure Engineer Genesis Molecular AIMachine Learning Infrastructure EngineerSan MateoYou will work alongside machine learning researchers, computational scientists, and engineers to build the infrastructure that transforms massive, heterogeneous protein and chemical datasets into reliable, high-performance inputs for our models and drug discovery workflows. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction.
NewSenior Machine Learning Engineer StravaSenior Machine Learning EngineerSan Francisco, CaliforniaBuild from a rich dataset : Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features. Analyzing the Data : Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.
NewSenior Product Counsel - Data Products, Machine Learning & Artificial Intelligence AbridgeSenior Product Counsel - Data Products, Machine Learning & Artificial IntelligenceSan Francisco, CaliforniaThis role is highly cross-functional across Abridge with a focus on advising product teams on the cutting edge of AI model and product developments, from ambient clinical documentation to emerging agentic and multimodal healthcare experiences. As an Senior Product Counsel (Data Products, Machine Learning, and AI), you'll play a pivotal role as the go-to legal advisor for the teams building Abridge's AI and machine learning models, products, and technologies.
Senior Software Engineer, Autonomy Evaluation GMSenior Software Engineer, Autonomy EvaluationSunnyvale, CaliforniaWith Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework.