Radar (goradar.com)

HQ
New York
68 Total Employees
Year Founded: 2013

Jobs at Radar (goradar.com)

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

4 Days AgoSaved
In-Office or Remote
8 Locations
Computer Vision
Lead end-to-end strategic finance analyses for pricing, market entry, capital allocation, and fundraising. Build and maintain unit-economics and ROI models, support investor and board materials, conduct market research and competitive intelligence, and partner cross-functionally to inform product and go-to-market decisions. Drive high-impact initiatives with minimal direction and translate complex analysis into executive-ready recommendations.
9 Days AgoSaved
In-Office
Sunnyvale, CA, USA
Computer Vision
Design, build, and own scalable batch and streaming data pipelines and data models for analytics and ML. Collaborate with data science, engineering, and product to deliver data products and dashboards, enforce data quality and testing, mentor engineers, and set technical direction for the data platform.
13 Days AgoSaved
In-Office
4 Locations
Computer Vision
The Systems Engineer will manage system-level features from ideation to customer release, collaborate with cross-functional teams, analyze data, and ensure high-quality delivery.
Computer Vision
Lead the development and delivery of fleetwide RFID solutions, managing software programs through the entire development lifecycle, optimizing workflows, and ensuring rigorous testing and validation.
Computer Vision
Lead the General Platform team owning tenant and store onboarding and the core front-end experience. Hands-on engineering manager: set technical direction, participate in architecture and code reviews, mentor engineers, manage agile execution, partner with Product/UX, drive operational quality, and support hiring and cross-functional integration.
21 Days AgoSaved
In-Office
Sunnyvale, CA, USA
Computer Vision
The Machine Learning Engineer will build and scale ML infrastructure, drive model performance, and ensure reliability while collaborating with various teams to optimize feature engineering pipelines and champion best practices.