Staff, ML Engineer - Scene Generation
$249,600–$299,500 year
RemoteUnited States
United StatesRemoteFull Time$249,600–$299,500 yearSenior LevelAutomotive TechnologyMedium
Full TimeSenior LevelMediumAutomotive Technology
Job Summary
Lead the Scene Generation team by setting technical vision for Neural Rendering and generative modeling pipelines aligned with AV 3.0 strategy. Own the end-to-end neural rendering framework from research and design through cloud integration, testing, and deployment of production-quality simulation for camera, LiDAR, and radar data. Drive consensus on architecture decisions, prioritize daily work, and mentor engineers while representing the team's roadmap to leadership and peer groups.
Required Qualifications
- Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience
- Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience
- PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience
- Proficiency in Python and deep learning frameworks such as PyTorch
- PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams
- Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching)
- Experience with production data in the context of robotics and/or autonomous driving
- Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision
- Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar
- Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment
- Experience with VDI and cloud-based machine learning development environments
- Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders
- Track record of mentoring and developing engineers, including more senior individual contributors
- Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization
Desired Qualifications
- Experience with autonomous driving or robotics perception in production environments
- Proficiency with CUDA programming for efficient rendering of large-scale scenes
- Publications in top tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals
- Experience with MLOps and infrastructure tools such as Ray
- Familiarity with 3D labeling, calibration, and sensor simulation pipelines
- Prior experience as a formal people manager or tech lead
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