{"id":656431,"url":"https://alion.io/job/bedrockrobotics-machine-learning-engineer-imitation-and-reinforcement-learning-for-robotics","title":"Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics","company":{"id":668890,"name":"Bedrock Robotics","domain":"bedrockrobotics.com","url":"https://alion.io/company/bedrockrobotics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":16,"ghost_share":0,"stale_share":0.375,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":140000,"max_usd":268000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":103},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vision-Language-Action","optional":false}],"status":"live","first_seen_at":"2026-01-31T03:45:17Z","employer_posted_date":"2026-01-31","last_verified_at":"2026-10-31T22:03:23Z","board_verified":true,"closed_at":null,"days_open":273,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":273},"description":"Join the team bringing advanced autonomy to the built world\nAt Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.\nWe're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\nThe Mission:\nWe’re looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.\nWhat You’ll Do:\nDesign, train, validate, and launch models for behavior cloning and reinforcement learning\n\nBuild and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets\n\nBuild metrics to evaluate model performance in open loop, simulation, and in the real world\n\nCollaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems\n\nDeploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration\n\nWhat We’re Looking For:\n3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems\n\n3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments\n\nFamiliarity with recent literature and methods in learned behavior policies\n\nPractical experience in behavior cloning and/or reinforcement learning\n\nBonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies\n\nBonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, …\n\nBedrock Robotics is an Equal Opportunity Employer\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\nReasonable Accommodations\nWe want our hiring process to be accessible to everyone. 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