Machine Learning Engineer - Gen SWE

Highlights

• Own ML-powered pickup and dropoff roadmap from definition through launch.
• Train and deploy models for occupancy detection and rider-vehicle interactions.
• Build distributed systems spanning vehicles, cloud services, and rider apps.

What they offer

• Health, dental, vision, life and disability insurance
• 401(k) with company match
• 20 days vacation per year plus holidays and sick time
• Parental and baby bonding leave
• Annual bonus program and equity incentive plan

Ideal candidate

Product-minded ML engineer who loves owning ambiguous, user-facing problems end-to-end and improving real-world rider experience through reliable autonomous systems.

Requirements

• BS in Computer Science or equivalent practical experience
• 5+ years of software engineering experience building and deploying ML models to production
• Experience building backend distributed systems