Role overview
Hivemapper is a decentralized map built by people using their dashcam and smartphone. It represents a fundamental shift in how maps are built. Forward looking businesses use our Map API. Our broad customer base spans enterprise tech, mapping and navigation, transportation and logistics, insurance and real estate, etc.
Our work is fast-paced, collaborative, and cross-disciplinary. We focus on solving hard problems, and we invest in our rapidly growing team and tech to do so.
Leveling
We are actively looking for engineers with different levels of experience, and we will work together to find the right role for your next challenge.
What you'll work on
- Keeping up to date with the state-of-the-art Machine Learning developments, and working to integrate them into our solutions
- Analyzing how existing models perform on different scales of locality (global, country, region, urban, suburban, rural, etc.) and working to improve them at large scale
- Working with teams all over the company to design and develop novel solutions to hard problems
- Publishing novel research, supporting open source initiatives, and presenting at conferences
- Helping to foster excellence across R&D
What we're looking for
- Experience using machine learning in large-scale production environments
- Experience building systems that process large volumes of data
- Experience or interest in using the following: AWS, Typescript, Python, TensorFlow, PyTorch, Rust, ECS, Kubernetes, C++, GPGPU
- Strong math and analytical skills
- You are always interested in new challenges and are comfortable learning new technologies.