- Work model
- Hybrid
- Experience
- Not specified
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 2 tags
Technology context
2Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
We're building a learning-based driving planner. Help us understand where it fails - and whether it's improving.
You'll work closely with model developers in a small team with short development cycles.
What will your job look like?
- Review closed-loop driving and investigate model behavior and failures.
- Help develop and validate metrics that capture what matters.
- Identify problems our evaluation is missing.
- Track improvements and regressions, keeping evaluation relevant and accurate as the planner evolves.
All you need is
- B.Sc. in Computer Science, Electrical Engineering, Physics, or a related field.
- Python skills for data analysis and evaluation.
- Strong analytical judgment: spot patterns, test explanations, and communicate clear, actionable findings.
- Experience evaluating algorithm or model performance, developing metrics, or analyzing complex systems- an advantage