Staff, ML Engineer - Scene Generation

Required

• 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 OR 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 OR 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.