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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in improving geocoding and autocomplete quality through advanced data processing techniques, including machine learning and large language models. Proficient in building and optimizing data pipelines and systems that handle high-throughput API calls while ensuring effective collaboration with cross-functional teams.
Highest-signal resume keywords
Machine LearningGeocodingData Pipeline AutomationScalaPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GeocodingAutocomplete Quality ImprovementMachine LearningData Pipeline AutomationScalaPythonRustNode.jsTypeScriptMongoDB
Soft Skills
Customer EngagementProblem SolvingCollaborationCuriosityTenacity
Tools & Technologies
AWSKubernetesEKSTerraformS3/AthenaRedisHorizonDB
Industry Keywords
High-Throughput SaaSGeospatial InfrastructureInformation RetrievalSearchRankingQuery Understanding
Tech Stack
Tools & technologiesAWSJavaScriptKubernetesMongoDBNode.jsPythonRedisRustScalaTerraformTypeScript
About the role
Key responsibilities & impact- Improve geocoding and autocomplete quality through query understanding, retrieval, ranking, and relevance
- Use ML and LLMs to enrich, label, match, and expand location data at scale
- Automate data pipelines to grow coverage and detail, reduce manual work, and simplify routine corrections
- Onboard messy data sources and normalize, match, and integrate US and international location data
- Improve how location data is indexed, retrieved, ranked, and surfaced to users
- Work across Scala and Python data pipelines and HorizonDB search and serving in Rust
- Build systems powering over 1 billion API calls per day
- Talk to Radar customers and prospects, incorporate feedback, and help make them successful
- Collaborate with Customer Success, Sales Engineering, Sales, the CTO, and Engineering Manager
- Participate in technical interviews and complete a final interview at the NYC HQ as part of the hiring process
Requirements
What you’ll need- Generalist engineer mindset, not tied to any particular stack
- Interest in talking to customers or prospects and making them successful
- Deep curiosity and tenacity for solving hard problems
- Ability to work across data, search, and backend systems
- Experience with or willingness to work across Scala, Python, Rust, Node.js, TypeScript, MongoDB, S3/Athena, Redis, AWS, Kubernetes, EKS, and Terraform is relevant to the stack
- Most engineers participate in the on-call rotation
- Willingness to work from Radar's New York HQ 4x a week (Mon-Thurs)
- Must be authorized to work in the United States for any employer
- Must address current or future visa sponsorship needs
- Bonus: former technical co-founder; high-throughput/high-growth SaaS experience; geospatial infrastructure; applied ML or LLMs; search, ranking, relevance, query understanding, or information retrieval systems
Benefits
Comp & perks- Meaningful stock options in a fast-growing company
- 401(k) plan with 4% match
- 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
- New HQ in Flatiron, NYC
