Machine Learning Engineer - Gen SWE

This role follows a hybrid work schedule and reports to a Software Tech Lead Manager.

You will:

• Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams

• Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found

• Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity

• Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well

• Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features

• Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience

• BS degree in Computer Science or equivalent practical experience

• 5+ years of software engineering experience, including building and deploying ML models into production

• Experience building backend distributed systems

Nice to have

• Experience with C++

• MS in Computer Science, or equivalent practical experience

• Experience in developing machine learning models, infrastructure, and pipelines

• Experience deploying models on-device or on edge hardware with compute and latency constraints

• Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction

• Experience in autonomous vehicles or robotics