{"id":2400047,"url":"https://alion.io/job/zoox-senior-staff-machine-learning-engineer-3d-sensor-simulation","title":"Senior / Staff Machine Learning Engineer - 3D Sensor Simulation","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":73,"open_postings":40,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":242000,"max":348000,"currency":"USD","period":"year","gross":null,"usd_annual":348000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"NeRF","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-12T22:06:04Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T09:11:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras.\nThis role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans.\nIn this role, you will:\nDesign, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines.\nCollaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities.\nBuild and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation.\nPartner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy.\nMentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.\nQualifications:\n2+ years of prior experience as a Technical Lead\n5+ years of experience developing ML models in Python with PyTorch or TensorFlow\n\nIndustry experience applying ML to sensor data (lidar, radar, and/or cameras)\n\nSolid understanding of customizing, tuning, and validating ML training pipelines\n\nBonus Qualifications:\nExperience with generative techniques such as diffusion, flow matching, or VAEs\n\nExperience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering\n\nPrior experience developing autonomy in AVs or other robotics and computer vision","description_format":"text","description_chars":1888,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility","Automotive Manufacturing","Ride 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