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Radar LabsRadar LabsNew York, NY

Senior / Staff Product Engineer, Machine Learning

Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.

200k – 300k/yr
On-siteML Engineering

About the role

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.

Skills

PythonRustAirflowSparkLightgbmscikit-learnTypeScriptNode.jsMongoDBRedisAWSKubernetesMachine LearningAnomaly DetectionIndoor Positioning

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