Staff Deep Learning Engineer

Responsibilities

• Lead end-to-end delivery of large-scope perception projects, from design through production
• Define and document technical approaches; drive alignment across Deep Learning, Platform, and Product teams
• Mentor junior and mid-level engineers through code review, design feedback, and hands-on pairing
• Contribute to team roadmap and help evaluate and prioritize new technical investments
• Set and uphold engineering quality standards across model development, MLOps, and deployment

Required Qualifications

• Education: Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field
• Experience: 8+ years building and deploying ML models in production; prior experience in a tech lead or staff-equivalent role preferred
• Depth: Mastery in at least 2 of the 4 perception verticals
• Breadth: Working proficiency across model training, evaluation, optimization, cloud and edge deployment, and MLOps (pipelines, experiment tracking, CI/CD for ML)
• Leadership: Proven ability to mentor engineers, lead technical discussions, and influence cross-team decisions