Senior / Staff Product Engineer, Machine Learning

Responsibilities

• Work on core Radar ML infrastructure built with Python, Rust, Airflow, Spark and new systems.
• Build new systems for Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors.
• Build new systems for Maps products: search ranking and query classification for addresses, points of interest leveraging "learn-to-rank" systems, LightGBM; create road traffic models to improve ETA accuracy; leverage AI to ingest address and POI data.
• Build new systems for Geofencing products: indoor positioning leveraging mobile device sensors (BLE, barometer, motion, Ultra-Wideband).
• Work on full-stack features across backend, data infra, mobile, and frontend.
• Push limits of location services on iOS and Android.
• Talk to customers and prospects, incorporate feedback.

Requirements

• Experience building machine learning based products in production at scale.
• Don't think of yourself as an "ML Engineer".
• Interested in talking to customers or prospects and making them successful.
• Deeply curious about how things work, tenacity to power through hard problems.

Nice-to-Haves

• Former technical co-founder.
• Experience with anomaly detection, indoor positioning, or mapping infrastructure.

Compensation

• Base salary $200,000 - $300,000/year.
• Performance bonuses and incentives.
• Stock option grants.
• 401(k) with 4% match.
• Health, dental, vision insurance (100% coverage).
• 12 weeks paid parental leave.
• Unlimited PTO, commuter/fitness benefits.