Machine Learning Engineer II Perception

Skills

About the Role

You will embed with autonomy users to implement scalable simulation data flows, onboard replay and recompute workflows, evaluate metrics, improve visualization tooling, integrate model workflows, debug full-stack issues, translate feedback into requirements, and document and scale user onboarding.

Requirements

• Bachelor's degree plus 4+ years of experience, or Master's degree plus 2+ years of experience
• Python expertise and experience building or operating data pipelines at scale
• Experience with simulation, replay, or model validation
• Familiarity with autonomy or robotics machine learning models
• Experience with cloud storage and compute
• Cross-team communication skills
• Full-stack data-pipeline debugging skills

Responsibilities

• Act as an embedded point of contact between simulation and autonomy users
• Implement scalable data flows from data operations through simulation and persistent storage
• Onboard models to replay, recompute, and metric-evaluation workflows
• Drive adoption and improvement of visualization tooling
• Implement and own model integrations
• Debug data-ingestion, simulation, storage, and metric issues
• Translate user feedback into product-roadmap requirements
• Document workflows and onboard new users

Benefits

• Bonus component
• Stock options
• 100% paid medical, dental, and vision premiums
• 401K plan with a 6% employer match
• Flexible schedule
• Generous paid vacation available immediately after start date
• Company-wide holiday office closures
• AD+D and life insurance