The Senior ML Engineer role at Rivian focuses on developing high-quality, scalable auto-labeling models for the Autonomy stack. The position emphasizes training, optimizing, and shipping models that enhance various applications, including mapping and object auto-labeling. The team is dedicated to pushing the boundaries of machine learning while ensuring performance optimization and rigorous evaluation. This role also involves collaboration with the Autonomy group to meet feature requirements and improve model performance.

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
• 5+ years of professional experience building and scaling machine learning solutions.
• Proven track record of delivering auto-labeling models for Autonomous Vehicles at scale.
• Strong proficiency in Python and understanding of modern perception pipelines.
• Demonstrated ability to drive progress across complex, multi-domain systems.

• Deliver production-grade, high-quality, scalable auto-labeling models.
• Train, optimize, and ship auto-labeling models in the Autonomy stack.
• Continuously improve model performance and establish rigorous evaluation benchmarks.
• Identify and root-cause system anomalies to prioritize high-impact optimizations.
• Collaborate closely with the Autonomy group to meet feature requirements.

• Employees at Rivian are often offered comprehensive health, dental, and vision insurance, a 401(k) with company match, ESPP and potential RSU grants, performance bonuses, and generous time off including paid parental and sick leave. Perks can include 24/7 mental-health coaching and therapy, Hinge Health for Anthem enrollees, tuition assistance and professional development, plus on-site food and a wide range of employee discounts on items like computers, mobile phones, home loans, and pet care.