{"id":1561353,"url":"https://alion.io/job/zoox-software-engineer-learned-trajectory-machine-learning-engineer","title":"Software Engineer - Learned Trajectory Machine Learning Engineer","company":{"id":3626,"name":"Zoox","domain":"zoox.com","url":"https://alion.io/company/zoox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":42,"ghost_share":0,"stale_share":0.905,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":189000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Motion Planning","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2024-11-07T18:13:17Z","employer_posted_date":"2024-11-07","last_verified_at":"2026-10-17T19:53:29Z","board_verified":true,"closed_at":null,"days_open":709,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":708},"description":"The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.\nAs a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior.\nIn this role, you will:\nYou will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc.\nYou will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field\nYou will develop metrics and tools to analyze errors and understand improvements of our systems\nYou will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments\nQualifications\nBS, MS, or PhD degree in computer science or related field\nExperience with training and deploying transformer-based model architectures and reinforcement learning\nExperience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines\nFluency in C++ or Fluency in Python with a basic understanding of C++\nExtensive experience with programming and algorithm design\nStrong mathematics skills\nBonus 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