RESPONSIBILITIES
- Build robust machine learning based motion planning capabilities for driverless vehicles in urban environments while working alongside teammates with diverse expertise
- With a deep understanding of our software stack, develop tools, algorithms, and evaluation mechanisms to solve real-world motion planning challenges tailored for MaaS applications
- Live and breath software development best practices that produce maintainable code including automated testing, continuous integration, code style conformity, and code review
MINIMUM QUALIFICATIONS
- BS in computer science, robotics, or a related field
- Proficiency in Python and familiarity with PyTorch or similar frameworks
- 3+ years of experience in applying machine learning to solve problems and integrating solutions into production systems
- Demonstrated ability to evaluate the performance of machine learning models and improve their accuracy and efficiency
- Communication skills with the ability to convey concepts clearly and precisely
NICE TO HAVES
- MS/PhD in computer science, robotics, or a related field
- Proficiency in C++
- Experience applying deep neural networks to solve motion planning challenges within autonomous driving or related robotics fields
- Familiarity with agile development methodologies and tools (e.g., JIRA, Confluence)
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