Director / Senior Director, Intellectual Property InsitroDirector / Senior Director, Intellectual PropertySouth San Francisco, CA$255,000–$312,000 / yearWe work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. FTO & Counseling: Conduct and lead freedom-to-operate, patentability, validity, and infringement analyses, and counsel scientific and business colleagues on data-use agreements and use of open-source software, AI models, and third-party datasets.
Research Engineer DepthFirstResearch EngineerSan Francisco, CaliforniaWork on a Product that Solves a Critical Problem - and we already have a handful of customers who have found it valuable in fixing some eye-opening vulnerabilities within the first few days of using our product. Our founding team includes deep expertise in data, infrastructure, security and LLMs with technical leaders from DeepMind, Databricks, Square, and Faire.
Member of the Technical Staff - Document Processing & Workflows Two DotsMember of the Technical Staff - Document Processing & WorkflowsSan Francisco, CaliforniaWe believe that public and private policy has to change, and that involves breaking the system that conceals our affordability crisis and leaves people without the disposable income required to live satisfying lives, fueling resentment and political instability that turns problems at home into problems for the world. Other team members include: Meta ML alumnus with decades of experience, a 21 year old UMich grad who was a top 2,000 LoL player (he is no longer playing the game, thank god), and a former agave farmer who started a shipping and logistics company while at Stanford.
NewDirector, Data Science SageSure Insurance ManagersDirector, Data ScienceMountain View, CAWhether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance. We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges. .
Fullstack Software Engineer (Senior / Staff) Genesis TherapeuticsFullstack Software Engineer (Senior / Staff)San Mateo, CAOur 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. Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight.
Software Engineer, ML Infra (Junior & New Grad) News BreakSoftware Engineer, ML Infra (Junior & New Grad)Mountain View, CA$125,000–$175,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. You'll join a small, high-ownership team that ships platform improvements end-to-end-partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.
Backend Engineer HeygenBackend EngineerSan Francisco, CA$170,000–$220,000 / yearHeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. Database Management: Design and manage database schemas, ensure efficient data storage, and optimize queries for maximum performance.
Director Of Engineering, Physical AI Scale AI, Inc.Director Of Engineering, Physical AISan Francisco, CA$302,400–$378,000 / yearLead a multidisciplinary engineering organization-spanning engineering managers, software engineers, ML engineers, and ML research scientists-while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Director Of Product Management, Physical AI Scale AI, Inc.Director Of Product Management, Physical AISan Francisco, CA$273,600–$342,000 / year8+ years of Enterprise Product Management, Business Operations, Strategy, or related roles in fast-paced environments, including 4+ years direct people management with a demonstrated history of recruiting, mentoring, and developing high-performing Product Managers. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Senior Applied Ml/Ai Scientist - Search FaireSenior Applied Ml/Ai Scientist - SearchSan Francisco, CA$211,000–$290,500 / yearYou'll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections, explain search results, and assist retailers with browsing, filtering, and evaluation.
Member of Technical Staff — ML Research, Multimodal Causal LabsMember of Technical Staff — ML Research, MultimodalSan Francisco, CaliforniaPredicting how physical systems evolve means learning from observations that language and vision models were not built for — sparse sensors, point clouds, hyperspectral imagery, physical fields — at a scale that dwarfs what is used to train even today's frontier LLMs. Solve core modeling problems unique to physical prediction: encoding heterogeneous and irregularly-sampled modalities, stable long-horizon rollouts, and probabilistic forecasting.
Senior / Staff 3D Engine Software Engineer - Simulation ZooxSenior / Staff 3D Engine Software Engineer - SimulationFoster City, CA$245,000–$305,000 / yearThis role lies at the heart of 3D simulation at Zoox, ranging from cinema-quality offline rendering for software-in-the-loop (SIL) simulation, to optimized realtime 3D graphics for hardware-in-the-loop (HIL) simulation. The Zoox 3D Sensor Simulation team's work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI.
Sales Account Executive - West Region OmnifoldSales Account Executive - West RegionSan Francisco, CaliforniaA highly intelligent and inspirational salesperson with the following experience and characteristics: Proven performer: You have at least 8 years of quota-carrying software/SaaS sales with a heavy emphasis on selling business solutions to senior executives, consistently exceeding quota and closing 6- and 7-figure deals. You will identify, engage, qualify, and close new enterprise customers — selling into Chief Supply Chain Officers and other senior executives across manufacturing, distribution, CPG, packaging, pharmaceuticals, retail, and logistics.
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.
Member of Technical Staff - Robotics & Simulation MoonlakeMember of Technical Staff - Robotics & SimulationSan Francisco, CaliforniaYou will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.
Member of Technical Staff - Robotics & Simulation Embedding VCMember of Technical Staff - Robotics & SimulationSan Francisco, CaliforniaYou will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.
Independent Board Director (ML-Driven Product & Data Platform Leader) AppodealIndependent Board Director (ML-Driven Product & Data Platform Leader)San Francisco, CAAt Appodeal, we're more than just a company—we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization.
Independent Board Director (Performance AdTech) AppodealIndependent Board Director (Performance AdTech)San Francisco, CABoard members are expected to: Participate in quarterly board meetings; Provide independent strategic guidance to the CEO and leadership team; Contribute to discussions around product strategy, partnerships, and market positioning; Help evaluate major strategic initiatives; Provide perspective on industry trends and competitive threats; Support the company through relevant industry connections and relationships; Board members do not participate in day-to-day operations. We are looking for individuals who bring: deep expertise in performance advertising platforms; strong industry network and relationships; high strategic judgment; an independent mindset; willingness to challenge assumptions constructively; long-term thinking aligned with building durable technology platforms.
Research Engineer, Post-training & Deployment Skild AIResearch Engineer, Post-training & DeploymentSan MateoWork with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites. You’ll work with customers and deployment data to deliver reliable robot behavior in real-world environments, ensuring our systems are safe, efficient, and robust under operational constraints.
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.