Radar

Senior / Staff Product Engineer, Machine Learning

Radar
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5 months ago
New York, NY, USASenior / Staff+
H1B Sponsor

Base Salary

$200k - $300k/yr

Responsibilities

  • Build core Radar ML infrastructure using Python, Rust, Airflow, Spark, and new systems.
  • Develop Fraud systems for anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors.
  • Develop Maps systems for search ranking, address and point-of-interest query classification, learn-to-rank, traffic modeling, and ETA improvement.
  • Use AI to ingest address and point-of-interest data from across the web.
  • Build Geofencing systems for indoor positioning using mobile device sensors such as BLE, barometers, motion sensors, and Ultra-Wideband.
  • Deliver full-stack features across backend, data infrastructure, mobile, and frontend systems.
  • Push the capabilities of location services on iOS and Android for systems running on more than 300 million devices.
  • Talk with customers and prospects, incorporate feedback into product work, and support customer success.
  • Participate in the engineering on-call rotation.

Requirements

  • Experience building machine-learning-based products in production at scale.
  • Interest in working across ML, backend, data infrastructure, mobile, and frontend stacks rather than focusing exclusively on ML engineering.
  • Interest in speaking with customers and prospects and using their feedback to improve products.
  • Deep curiosity, tenacity, and willingness to work through difficult technical problems.
  • Experience with anomaly detection, indoor positioning, or mapping infrastructure is a bonus.
  • Being a former technical co-founder is a bonus.

Benefits

  • Meaningful stock options and a 401(k) plan with a 4% match.
  • Health, dental, and vision insurance with 100% employee coverage.
  • 12 weeks of paid parental leave, unlimited PTO, commuter benefits, and fitness benefits.
  • New Flatiron, NYC headquarters, top-notch equipment, and catered lunches.
  • The role is full-time and expects engineers to work together in person at the NYC headquarters; most engineers participate in an on-call rotation.

Tech Stack

Apache AirflowApache SparkAWSiOSLightGBMMongoDBNode.jsPythonRedisRustscikit-learnTypeScript

Categories

BackendML EngineeringProduct Engineering
Radar

About Radar

51-200 employees

Radar is the all-in-one location platform built to help teams fight fraud, optimize operations, and engage customers at scale. Hundreds of companies, from high-growth startups to the Fortune 500, trust Radar across hundreds of millions of devices worldwide, including DICK’S Sporting Goods, RBC, Six Flags, bet365, Sleeper, Avis, and PGA Tour. Our platform is built around three solutions. Protect stops fraud, verifies user location, and keeps you compliant, wherever you operate. Optimize tracks pickups, deliveries, and field operations with complete real-time visibility. Engage reaches the right user at the right moment, wherever they are in the real world. Underneath it all sits our Geofencing and Maps platform, giving you hyper-accurate location tracking alongside customizable maps, geocoding, search, and routing, at a fraction of the cost of legacy providers. Since 2016, Radar has been on a mission to connect the digital and physical worlds with location infrastructure for every product and service. Today, that means 1,000+ installed apps, 300M+ installed devices, and over 1 billion API requests processed every day, making Radar the global leader in geolocation.