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Deep Learning and Computer Vision Engineer
We are looking for a strong and inventive Deep Learning Engineer to join the California office of an industry leading, level 4 autonomous vehicle AI software company. Working on building a real-time perception, tracking and prediction system, employing cutting-edge deep learning and computer vision methods. This is an opportunity for a position in the autonomous driving industry with real-world experience in deploying deep learning-based architecture, on-site in California.
Skills Required:
- M.Sc. in Computer Science, Applied Mathematics, Electrical Engineering or similar
- Minimum 3 years deep learning research and application hands-on experience
- Minimum 3 years programming experience (Python/C++ or any high-level language)
- Well informed on deep learning field developments
- B.Sc. level probability theory, linear algebra, geometry and trigonometry
Responsibilities:
- Vision-based road perception algorithms research, development & integration
- Oversee, develop complex data pipelines including data collection to annotation and generation
- Integrate with C++ based autonomous vehicle software
- Test and finetune developed algorithms and models off-site at the company's autonomous test vehicle
- Devise and measure performance metrics
Advantageous:
- Familiar with Computer Vision and the AV field
- PyTorch experience
- Viewable body of projects (e.g. github repository, portfolio, etc.)
With over 70 employees across 4 cities this company has big plans for expansion, do you want to be part of their future?