✨ About The Role
- The role involves designing large-scale optimization problems and analyzing results using real-world driving data.
- You will lead complex, cross-functional projects that require collaboration with teams in AI platforms, simulation, and data science.
- The position focuses on improving training data quality and implementing features to enhance optimization capabilities.
- Communication skills are vital, as you will need to convey your work to other teams at Zoox.
- The work you do will have a direct and measurable impact on vehicle driving behaviors, contributing to the evolution of the AutoML platform.
âš¡ Requirements
- A strong background in machine learning, computer science, or a related field is essential for this role.
- Candidates should have at least 4 years of relevant experience, with a preference for those with 5 or more years.
- Proficiency in Python is required, and familiarity with C++ is a bonus.
- Experience in scaling optimization systems in production, particularly hyperparameter tuning, is crucial.
- The ideal candidate will have experience with distributed systems and a solid understanding of optimization techniques.