Your space-enabled career begins here

The R&D team is responsible for bringing - or inventing - state of the art methods from computer vision, machine learning, 3D reconstruction, and data science to our massive imagery network. This includes developing systems for detection, localization, semantic understanding, 3D reconstruction, complex optimization, etc.

We run code on massive processing clusters, as well as at the edge on smart phones and embedded devices.

Hivemapper is currently in alpha mode and already generating billions of frames of 4k street level imagery across 3 continents. We have an internal data QA team who are available for ad-hoc data annotation and qualitative feedback, as well as large scale relationships with high quality data labeling shops.

You are always interested in new challenges and are comfortable learning new technologies.

Responsibilities • Keeping up to date with the state of the art, and working to integrate it 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 • Work 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 • Help foster excellence across R&D

Qualifications • 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

What we offer: • Medical, Dental and Vision Benefits • Family Leave Policy • 401(k) Program • Paid Time Off • Commuter Benefits • Paid Lunches