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$149,000 – $198,500
Listed on Motional’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead the development of evaluation frameworks and statistical methods for validating autonomous vehicle performance at scale. This role suits experienced data scientists who want to bridge the gap between simulation and real-world testing while influencing critical safety and launch decisions.
Our summary, not Motional’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years solving complex problems with large datasets
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field
- Strong Python and SQL skills
- Experience with advanced statistical and ML methods
- Demonstrated experience with statistical analysis, hypothesis testing, and causal analysis
- Ability to work independently and drive projects from problem definition to results
- Clear communication of technical findings to engineering and leadership
Nice to have
- Master's or PhD degree
- Experience with adversarial scenario generation and closed-loop simulation
- Experience in autonomous driving or robotics evaluation
- Familiarity with data pipelines and distributed compute
- Expertise in modern sequence modeling and uncertainty quantification
- Familiarity with automotive safety standards like ISO 26262 or SOTIF