🛠 Tech Stack

💼 About This Role

You'll build ML-based systems for geofencing, maps, and fraud products at Radar, a high-growth location infrastructure company. You'll impact 300M+ devices and ship features end-to-end across backend, data infra, and mobile stacks.

🎯 What You'll Do

• Build core ML infrastructure using Python, Rust, Airflow, and Spark
• Develop anomaly detection and risk scoring for fraud products
• Create search ranking and query classification for maps products
• Work on full-stack features across backend, data infra, mobile, and frontend

📋 Requirements

• 5+ years of experience building ML products in production
• Proficiency in Python and Rust or similar systems languages
• Experience with LightGBM or random forests at scale
• Ability to work on-site in NYC and participate in on-call rotation

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive salary with meaningful stock options
• 🏢 Modern office in Flatiron, Manhattan
• 📈 High-performance culture with ambitious teammates
• ⏱️ Fast shipping and customer-driven development

📨 Hiring Process

After a technical recruiter call, you'll complete code screen, coding, and system design rounds via Zoom, then a final on-site in NYC with founders and team members.