Software Engineer (ML)

About Radar Labs: Radar Labs is the #1 geolocation platform powering location-based experiences for thousands of companies globally. We process over 1 billion API calls daily and are committed to best-in-class accuracy, cost-effectiveness, and enterprise-grade security.

About The Role: As a Software Engineer (Machine Learning) at Radar Labs, you will be at the forefront of developing cutting-edge location technologies. You will work on projects that leverage machine learning and artificial intelligence to solve complex geolocation challenges. This includes extracting raw map data from satellite maps and the web, anomaly detection to identify spoofed locations, and improving location accuracy using ML.

Responsibilities:

• Design and implement machine learning models for location extraction, anomaly detection, and accuracy improvement
• Collaborate with data scientists and backend engineers to integrate ML models into our geolocation platform
• Optimize ML algorithms for performance and scalability, ensuring they can handle our massive scale
• Work on extracting raw map data from satellite maps and web sources, and develop AI techniques to enhance location services
• Contribute to our open-source projects and share knowledge with the team

Requirements:

• Proven experience in machine learning and AI, with a focus on geospatial data
• Strong programming skills in Python, with experience in ML frameworks like TensorFlow or PyTorch
• Understanding of geospatial data and its applications
• Experience with large-scale data processing and distributed systems
• Ability to work in a fast-paced environment and collaborate with cross-functional teams