ML Perception Software Engineer
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Summary
Develops computer-vision and machine-learning algorithms for autonomous-vehicle perception: training and evaluating world representations and perception models, testing them on real vehicles, and owning portions of the autonomy stack. Core technologies include C++, Python, and ML deployed to production.
You will develop computer-vision and machine-learning techniques for autonomous-vehicle perception. You will create and evaluate algorithms and world representations, test them on real vehicles, own portions of the autonomy stack, and work with data, behavior, and research teams to deploy production software.
Responsibilities
- Train, modify, and create algorithms for world representations, perception, world modeling, and ML-driven autonomy
- Test and evaluate algorithms on real vehicles
- Own portions of the autonomy stack and improve driving capabilities
- Collaborate with data, behavior, and research teams to deploy autonomy software to production
Requirements
- 3+ years of experience building software components or systems addressing real-world perception challenges
- Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
- Strong proficiency in C++ and Python
- Experience building machine learning models from data collection through production deployment
- Deep understanding of relevant frameworks and libraries
- Ability to identify promising and risky trends in the field
Benefits
- Health, dental, vision, life, and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
- Equity in the form of options and/or restricted stock units