--- title: 'Senior / Staff Machine Learning Engineer, Fraud at Radar' canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-fraud-radar-new-york-28r0stq0fv0a' type: 'job' last_seen: '2026-10-18' --- # Senior / Staff Machine Learning Engineer, Fraud at Radar - **Company:** Radar - **Location:** New York, NY - **Compensation:** $200k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-06 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/radar/06f0be59-81ae-41c2-923e-f0f7dd66798d ## Job description ## About Radar [Radar](https://radar.com) is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Why is Radar the best place to work? - We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500. - We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices. - We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners. - We have a high-performance culture, with ambitious and entrepreneurial teammates in every role. - We recently moved into an amazing new office in Flatiron, Manhattan, NYC. - We were recently named a top 10 best place to work in NYC by Crain's. Despite our growth and scale, we're still just getting started. That's where you come in. ## About the role We're looking for Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who has built ML based fraud detection models, leveraged in a risk based rules engine. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by driving impact to products and customers by building end-to-end features that leverage machine learning to prevent fraud. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. To us, a week is a long time, and we expect to ship big things every week. The stack: We have systems that leverage LightGBM and random forests using scikit and Rust and we need to build out new systems impacting additional products. The server is a TypeScript Node.js app and a Geospatial Rust database we built called HorizonDB. We use MongoDB, S3/Athena, Redis, Airflow and everything is deployed to AWS. Most engineers are in the on-call rotation. How we use AI: - Engineers choose what AI tools they use, Claude and Codex being the most popular. - We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database. - All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs. - There is a range of how much engineers use AI. Most use it daily if not weekly. - We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards. The hiring process: After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match. What you’ll do: - Work on core Radar ML infrastructure built with Python, Rust, Airflow, Spark and new systems you build - Build new systems for our Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors - Work on features across several of backend, data infra and ML - Push the limits of fraud detection using many sensors on iOS and Android - Have your work run on 300M+ devices - Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful You should: - Have experience building machine learning-based fraud detection products in production at scale - Are interested in talking to customers or prospects and making them successful - Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them Bonus points if you: - Are a former technical co-founder - Have experience with anomaly detection, anti-fraud ML systems You’ll work with: - [Nick Patrick](https://www.linkedin.com/in/nicholaspatrick/), Co-Founder and CEO - [Tim Julien](https://www.linkedin.com/in/timjulien/), CTO - [David Gurevich](https://www.linkedin.com/in/davidgur/), Engineer - Our customers and prospects - Our Customer Success, Sales Engineering, and Sales teams What we offer: - Competitive salary - Meaningful stock options in a fast-growing company - 401(k) plan with 4% match - New HQ in Flatiron, NYC - Top-notch equipment - Catered lunches - Unlimited PTO - Health, dental, and vision insurance with 100% coverage for employees - 12 weeks of paid parental leave - Commuter and fitness benefits We’ll share full details of our benefits package at the offer stage. Benefits may vary by location. Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law. ## About Radar ## Company Overview - **One-liner**: Radar is the world’s first Location OS, providing next‑gen geofencing, maps, and AI‑enabled infrastructure for fraud detection, operations optimization, and customer engagement. - **Entity Type**: Private (venture‑backed, $85.5M total funding) - **Headquarters**: New York, NY (Flatiron district), USA - **Founded**: 2016 - **Founders**: Nick Patrick (CEO) and Coby Berman (COO) ## Core Business - **Primary industry/industries**: Location technology / geolocation infrastructure - **Target customers**: B2B – from high‑growth startups to Fortune 500 enterprises (e.g., DICK’S Sporting Goods, T‑Mobile, Inspire Brands, bet365) - **Mission or purpose**: Connect the digital and physical worlds with location infrastructure for every product and service. ## Products & Services - **Geofencing (Radar Engage/Protect/Optimize)**: Hyper‑accurate real‑time location tracking and geofencing SDK that powers engagement, fraud prevention, and operational visibility. - **Maps (Radar Maps)**: Customizable mapping, geocoding, search, and routing APIs offered at lower cost than legacy providers. - **Radar Protect**: AI‑enabled fraud solution using location signals to stop fraud, verify user location, and maintain compliance. - **Radar Optimize**: Real‑time tracking for pickups, deliveries, and field operations. - **Radar Engage**: Contextual, location‑based marketing and personalization. - **Location OS**: Unified platform combining all of the above with SDKs and APIs for fast integration. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total funding raised – **$85.5M** (Accel, Insight Partners) | Over **1 billion API calls per day** and installed on **300M+ devices** across **1,000+ apps** - **Notable Investors/Partners**: Accel, Insight Partners; customers include 4 of the top 7 US sportsbooks, major airlines, QSRs, insurance companies, and mobility firms - **Growth Signals**: Launched the world’s first Location OS in October 2025; moved to a new HQ in Flatiron, NYC; named a top 10 Best Place to Work in NYC by Crain’s (2025) and top 50 by Built In (2026); expanding across Engineering, Design, Customer Success, Sales, and Gaming Operations ## Competitive Advantages - **All‑in‑one platform**: Combines geofencing and maps in a single stack, eliminating the need for multiple vendors. - **Proprietary infrastructure & accuracy**: Collects location data across GPS, Wi‑Fi, IP, and sensors for the most accurate, real‑time signals. - **Cost effectiveness**: Economies of scale make Radar cheaper than legacy providers or building in‑house. - **Enterprise‑grade**: SOC 2 and GDPR compliant, 1B+ daily API calls, proven at scale with Fortune 500 customers. - **Developer‑friendly**: Modern SDKs and APIs that integrate with just a few lines of code. ## Strategic Focus - Extend leadership as the most trusted geolocation platform by adding new datasets, integrations, and AI‑native solutions. - Continue migration of legacy maps and geolocation customers to Radar’s unified platform. - Embed location as a key input into AI/ML models across fraud detection, personalization, and automation workflows. ## Why Work Here - **Culture and work style**: High‑performance, “championship team” environment with extreme standards. In‑person focused: most team members work from the NYC Flatiron office 4–5 days per week (WFH optional on Fridays). - **Compensation and equity**: Competitive salary, meaningful stock options in a fast‑growing company, 401(k) with 4% match. - **Health and wellness**: 100% coverage for health, dental, and vision insurance; 12 weeks paid parental leave; commuter and fitness benefits. - **Perks**: Catered lunches, unlimited PTO, monthly team events. - **Growth**: High performers receive generous rewards and rapid career advancement; the company is hiring across nearly every function (Engineering, Product, Fraud Operations, etc.). - **Notable recognition**: Crain’s top 10 Best Places to Work in NYC 2025; Built In’s 50 Best Places to Work in NYC 2026. ## Sources 1. [radar.com](https://radar.com/) 2. [radar.com/careers](https://radar.com/careers) 3. [radar.com/about](https://radar.com/about) 4. [builtinnyc.com](https://www.builtinnyc.com/company/radar/) 5. [radar.com/blog](https://radar.com/blog/radar-2025-recap-and-2026-preview) ## Other roles at Radar - [Customer Success Manager / Enterprise Customer Success Manager](https://feeny.ai/job/customer-success-manager-enterprise-customer-success-manager-radar-new-york-mwm6xdcb54qq) — New York, NY - [Commercial Account Executive](https://feeny.ai/job/commercial-account-executive-radar-new-york-jqh3rfcnjqre) — New York, NY - [Senior / Staff Backend Engineer, Maps](https://feeny.ai/job/senior-staff-backend-engineer-maps-radar-new-york-er13xvb8qvvs) — New York, NY - [Engineering Manager, Site Reliability](https://feeny.ai/job/engineering-manager-site-reliability-radar-new-york-gpn8fkya4sys) — New York, NY - [Engineering Manager, Platform](https://feeny.ai/job/engineering-manager-platform-radar-new-york-8eryxdjgm96z) — New York, NY - [Sales Engineer / Enterprise Sales Engineer](https://feeny.ai/job/sales-engineer-enterprise-sales-engineer-radar-new-york-kmmydjwx0rz3) — New York, NY - [Senior / Staff Platform Engineer](https://feeny.ai/job/senior-staff-platform-engineer-radar-new-york-4kasmbzkth6b) — New York, NY - [Senior / Staff Product Manager, Maps](https://feeny.ai/job/senior-staff-product-manager-maps-radar-new-york-qx1gt0359de5) — New York, NY - [Senior / Staff Product Manager, Fraud](https://feeny.ai/job/senior-staff-product-manager-fraud-radar-new-york-8t3q3da7m6s4) — New York, NY - [Staff / Principal Engineer, Product Security](https://feeny.ai/job/staff-principal-engineer-product-security-radar-new-york-q8q60s32gq4z) — New York, NY