3 hours ago
Remote, United States or New York, NY, USASenior / Staff+
H1B sponsor
Base Salary
$200k - $300k/yr
Responsibilities
- Improve geocoding and autocomplete through query understanding, retrieval, ranking, and relevance improvements.
- Use ML and LLMs to enrich, label, match, and expand location data at scale.
- Automate data pipelines, onboard messy commercial and open data sources, and improve normalization, matching, and integration of US and international location data.
- Work across data pipelines, search indexes, retrieval and ranking systems, and HorizonDB serving infrastructure.
- Build systems supporting more than 1 billion API calls per day and participate in the on-call rotation.
- Talk with customers and prospects and incorporate their feedback into the product.
Requirements
- Generalist software engineering mindset with willingness to work across data, search, backend, and multiple technology stacks.
- Interest in talking with customers or prospects and helping make them successful.
- Deep curiosity and tenacity for solving difficult technical problems.
- Preferred experience includes high-throughput, high-growth SaaS applications, geospatial infrastructure, applied ML or LLMs, and search, ranking, relevance, query understanding, or information retrieval systems.
- Former technical co-founder experience is a bonus.
Benefits
- Competitive salary and meaningful stock options.
- 401(k) plan with a 4% match.
- Work from Radar’s NYC headquarters in Flatiron; benefits may vary by location.
- Top-notch equipment, catered lunches, unlimited PTO, and commuter and fitness benefits.
- Health, dental, and vision insurance with 100% employee coverage.
- 12 weeks of paid parental leave.
Tech Stack
Categories
About Radar
Radar builds a location platform for businesses, offering geofencing SDKs, maps APIs, and AI-enabled tools used by marketing, operations, and risk teams. Its SaaS products include Radar Protect, which provides geo-compliance and fraud detection for industries such as gaming, fintech, marketplaces, on-demand, and e-commerce. Founded in 2016 and headquartered in New York City, the company sells usage-based APIs and software to product and data teams.