Senior Software Engineer - ML/ Fraud Prevention

Highlights

• Ship real-time ML models scoring rider risk to stop payment fraud.
• Protect autonomous ride-hail fleet from vandalism and revenue loss.
• Build safe enforcement with audit trails and support for rider appeals.

What they offer

• Health, dental, vision, life and disability insurance
• 401(k) with company match
• 20 days vacation per year
• Sick time and maternity/baby bonding leave
• 13 paid holidays per year

Ideal candidate

Seasoned backend-minded ML engineer who thrives in adversarial domains and cares about balancing revenue protection with rider trust, safety, and compliance at scale.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent practical experience
• 5+ years of software engineering experience building distributed backend systems or production ML systems
• Hands-on experience training, evaluating, and deploying machine learning models to production
• Experience serving models or critical business logic in low-latency, high-availability environments
• Strong fundamentals in data modeling and SQL analytics