Sr. Deep Learning Engineer - Prediction

Location Milpitas
Discipline: AI & Machine Learning Jobs
Job type: Permanent
Salary: US$160000 - US$200000 per annum
Contact name: Nicolas Roselli

Contact email:
Job ref: BBBH11906_1652200286
Published: 12 days ago

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.