- Bedrock Robotics Inc. (San Francisco, CA)
- …leading robotics technology firm in San Francisco is seeking a Machine Learning Engineer to develop and scale learning architectures and build data systems. The role ... involves training models for behavior cloning and reinforcement learning, maintaining data pipelines, and collaborating with other teams. Candidates should have experience in machine learning and deep learning frameworks. If you are passionate about using AI… more
- Bedrock Robotics (San Francisco, CA)
- A robotics company based in San Francisco is seeking a Machine Learning Engineer to design and validate models for behavior cloning and reinforcement learning. You ... will collaborate with teams to integrate models into autonomous systems and ensure high-quality training datasets. The ideal candidate has experience with deep learning frameworks like PyTorch, proficiency in Python, and familiarity with behavior policies.… more
- Amazon (San Francisco, CA)
- …22 hours ago Machine Learning Engineer (I, II, or Sr.) AI/ ML Engineer (Founding Technical Team) San Francisco, CA $145,000.00-$175,000.00 1 month ... Machine Learning Engineering (New Graduate), AGI Autonomy Join to apply for the Machine Learning...Perception Software or Machine Learning Engineer Research Engineer - Machine Learning ( ML ) Machine Learning… more
- Tesla Motors, Inc. (Palo Alto, CA)
- …scalable testing, rapid iteration, and accelerated development of the Optimus autonomy stack. We design and deploy cutting-edge simulation systems that blend ... us to rigorously evaluate behavior, uncover edge cases, and drive continuous improvements in autonomy and decision-making. As a member of this team, you will play a… more
- AdsGency AI (San Francisco, CA)
- Senior Machine Learning Engineer - Applied AI / Agent Systems Company: AdsGency AI Relocation to San Francisco City Required We're AdsGency AI - an AI-native startup ... layer for digital advertising. Our system uses LLM and ML -driven agents to autonomously launch, scale, and optimize ad...of ad intelligence. The Role - Senior Machine Learning Engineer As a Senior Machine Learning Engineer ,… more
- Terranova (Berkeley, CA)
- …systems. Build and validate physical models for simulation, hardware‑in‑the‑loop testing, and autonomy . Train and deploy ML models for perception, planning, or ... to do it. Overview We're seeking a controls and ML specialist to develop algorithms that give our robotic...adaptive control (supervised or RL ). Integrate algorithms with firmware and cloud teams, ensuring… more
- Cubiq Recruitment (San Francisco, CA)
- …Doing: Training, deploying, and maintaining manipulation models on physical systems. Building autonomy stacks using imitation learning, RL , and VLA approaches. ... a Machine Learning Researcher to work across the full ML and robotics stack to develop models, algorithms, and...related field. Expertise in robot learning - imitation learning, RL , or classical control. Experience deploying models on real‑world… more
- SOLANA FOUNDATION (San Francisco, CA)
- …models for the fastest-growing companies in the world. If you love taking cutting‑edge ML techniques and turning them into products that ship, we'd love to meet you. ... will be responsible for building and improving the core ML systems that power our custom model training platform,...reports directly to the founding team. You'll have the autonomy , a large compute budget / GPU reservation, and… more
- DeepRec.ai (San Francisco, CA)
- …Partner closely with autonomy and AI teams to ensure: ML / RL /VLM‑based systems respect real‑time, safety, and physical constraints Data collection, ... digital twins, HIL, or sim‑to‑real tied to real manufacturing data. Exposure to ML / RL /VLMs in embodied or physical systems contexts. Patents or technical… more
- General Motors (Sunnyvale, CA)
- …and respond in real-time to changing road conditions. The TGX team uses state-of-the-art ML , RL , and optimization techniques to improve the GM driving product ... on well-scoped research or engineering projects that contribute to the team's ML -driven planning stack. This might involve implementing and benchmarking new neural… more
