Senior Software Engineer - ML Infrastructure

📋 Description

• Curate datasets. Build pipelines that discover, label, and organize driving scenarios from
• Build data pipelines. Design and maintain scalable, reproducible data pipelines with versioning
• Turn data into insight. Explore dataset composition, coverage, and label quality; characterize how
• Scale ML infrastructure. Build training, inference, and evaluation pipelines that run smoothly at
• Develop and ship models. Train, tune, and productionize learned models, from classical approaches
• Own the metrics. Define, implement, and validate model and release metrics such as precision

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a
• Strong Python software engineering skills, including designing modular, maintainable, well-tested
• Experience building end-to-end ML systems, from data pipelines and dataset curation through
• Experience designing scalable ML infrastructure, such as training and evaluation pipelines
• Solid grounding in statistics and experimental design, including choosing evaluation strategies
• Clear communication and the ability to work effectively across software, ML, and autonomy teams.

🎁 Benefits

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave and Adoption/Surrogacy support program