Senior Machine Learning Engineer, Runtime and Serving

Highlights

• Build next-gen onboard ML inference engine for autonomous driving at scale.
• Balance real-time onboard constraints with high-throughput offboard serving fleets.
• Power the world's most experienced driver across 10M+ rider-only trips.

What they offer

• Annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

A systems-oriented ML engineer energized by performance and efficiency who loves partnering with researchers to bring complex models to real vehicles at scale.

Requirements

• B.S. or M.S. in CS, EE, Deep Learning or a related field
• 5+ years professional experience building ML systems and infrastructure
• 5+ years production programming in C++
• 3+ years production experience in Python and deep learning frameworks
• Experience optimizing ML software for hardware accelerators
• Experience building low-latency, highly concurrent distributed backend systems