The only way to fully operate autonomous vehicles is to use HD mapping which requires a strong connection to satellite GPS and a continuous effort to update the map... until now. By pushing the envelope of Computer Vision and AI, we have created a map-less autonomous driving platform that eliminates the need for this costly technology.
Based in San Jose, CA, we are a well-funded ($9 million) startup whose vision is to bring our highly intelligent, vision-based approach that requires neither a cloud connection nor a map to market. Our inexpensive platform will allow the market for autonomous vehicles to scale rapidly around the globe.
We are looking for a Sr. Machine Learning Engineer who would be part of a team responsible for building a real-time tracking and prediction system for objects around the vehicle. You would have the opportunity to play a significant role in taking these algorithms from research to integration utilizing deep learning.
What we can offer a Sr. Machine Learning Engineer (Prediction):
- The opportunity to join our hugely bright team at an early stage and play a crucial part in laying the foundations for the future of autonomous driving.
- Access to our beautiful office in San Jose, CA
- Competitive Salary + Excellent Equity Package & Benefits
Key skills: Deep Learning Research, Signal Processing Algorithms, Probability Theory, Mathematics/Statistics, Python, C++, PyTorch, Computer Vision, Git.