You will:

• Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks.
• Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
• Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
• Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues.

‍

‍

You have:

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience in Machine Learning and/or Computer Vision
• Experience with Python
• Experience with ML frameworks like PyTorch or JAX

‍

‍

We prefer:

• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
• Experience with C++

‍