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.
Senior ML Infrastructure Engineer - Embodied AI Scaling Foundations GMSenior ML Infrastructure Engineer - Embodied AI Scaling FoundationsSunnyvale, CaliforniaBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Our goal is simple: dramatically accelerate the machine learning development cycle, freeing our engineers to focus entirely on enhancing the safety and performance of the car, rather than managing infrastructure.
ai/ml phthon engineer ESRhealthcare and EXEC STAFF RECRUITERSai/ml phthon engineerSan Francisco, CaliforniaWe have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.
Model Implementation Engineer SciforiumModel Implementation EngineerSan Francisco, CaliforniaBacked by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. This role is ideal for someone who thrives in fast-moving environments, enjoys working across a wide range of model architectures, and wants to play a key role in enabling rapid adoption of the latest advancements in AI.
Senior Distinguished Engineer, AI Compute (Remote Eligible) Capital OneSenior Distinguished Engineer, AI Compute (Remote Eligible)San Francisco, CaliforniaRemoteBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.
Applied AI Researcher (Dublin, CA) Articul8Applied AI Researcher (Dublin, CA)Dublin, CaliforniaDesign, train, and iterate on models across the full GenAI stack — LLMs, VLMs, embedding models, rerankers, and reward models — using agentic pipelines that autonomously manage data preprocessing, training runs, evaluation sweeps, and result synthesis. Go deep: push the frontier of domain-specific AI — conduct rigorous, first-principles research into model architectures, training dynamics, reinforcement learning, and knowledge representation, using AI agents to accelerate literature review, ablation studies, and mathematical analysis.
Image Data Scientist Dawar ConsultingImage Data ScientistSouth San Francisco, CaliforniaThe Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology. Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
NewMachine Operator AerotekMachine OperatorSan Jose, CA$22–$25 / hourSince 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests.
Senior Machine Learning Engineer – Perception & Embodied AI GMSenior Machine Learning Engineer – Perception & Embodied AIMountain View, California$170,600–$261,300 / yearAs a Senior Machine Learning Engineerfor Perception within the EmbodiedAI organization,you will own the end-to-end pipeline for safety-critical MLperceptionmodels , from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as: 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
Machine Learning Research Engineer/Scientist SundayMachine Learning Research Engineer/ScientistRedwood City, CaliforniaAs an early member of a small, cross-functional team, you’ll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most. You will leverage our unique large-scale in-the-wild data collection operation and our growing robot fleet to continuously add new behaviors and improve robustness across tasks and environments.
Senior AI Engineer AvathonSenior AI EngineerPleasanton, CaliforniaYou will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Research Engineer / Scientist (SLAM) World LabsResearch Engineer / Scientist (SLAM)San Francisco, California$250,000–$350,000 / yearWe bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users. This role is focused on modern SLAM techniques—both classical and learning-based—with an emphasis on scalable state estimation, sensor fusion, and long-term mapping in complex, dynamic environments.