Base Salary
$240k - $330k/yr
Responsibilities
- Act as the central evaluation authority for the Behavior teams, connecting model development with system-level autonomous-driving behavior.
- Define evaluation strategies for prediction and planning models, including open-loop and simulation-based assessments.
- Design and implement advanced metrics, including ML-based approaches, to measure model impact on end-to-end system behavior.
- Develop evaluation frameworks incorporating counterfactual reasoning and reaction-time analysis.
- Create data-mining strategies and assess training and evaluation dataset coverage across Prediction and Planning.
- Build scalable tooling and pipelines, identify process gaps, and collaborate with machine learning engineers and roboticists on open-ended technical problems.
- Partner with Safety, Infrastructure, Operations, Legal, and Systems teams to drive improvements and meet launch criteria.
- Define safety, comfort, and assertiveness performance targets and acceptance criteria, and produce supporting analysis and evidence.
Requirements
- Bachelor’s degree and 7+ years of experience in Computer Science, Systems Engineering, Robotics, or a similar technical field, or a master’s/PhD and 5+ years of experience.
- Strong foundation in probability, statistics, data science, and scientific rigor applied to complex multi-agent systems.
- Production proficiency in Python, SQL, and data analysis, including visualization and statistics.
- Experience defining performance targets and acceptance criteria for safety, comfort, and assertiveness.
- Ability to solve cross-disciplinary technical challenges and develop innovative, maintainable solutions.
- Proven ability to lead initiatives, drive alignment, and maintain stakeholder engagement.
- Working expertise in hazard and safety analysis methods including STPA, HAZOP, FMEA, and hazard analysis and risk assessment.
- Experience using statistical and machine-learning methods to quantify performance, detect regressions, and identify behavior patterns at scale.
- Deep experience with autonomous-robotics Prediction and/or Planning, including evaluating ML-based systems in production.
- Experience with public autonomous-vehicle datasets and benchmarks such as Waymo Open Dataset and nuScenes, and with trajectory-forecasting and motion-planning metrics.
- Prior experience using or building large-scale data pipelines.
- Strong communication and collaboration skills across technical, executive, and distributed teams.
- Familiarity with SOTIF, ISO 26262, UL4600, AVSC behavior competencies, and other industry standards.
Benefits
- Medical, dental, and vision benefits.
- 401(k) with company match.
- Health savings accounts, life insurance, and pet insurance.
- Additional benefits and compensation details may be shared by the recruiter; the role may also include bonus or company equity.
About Motional
Motional is an autonomous vehicle technology company on a mission to make driverless vehicles a safe, reliable, and accessible reality. The company formed in 2020 and is majority-owned by Hyundai Motor Group, one of the world’s largest vehicle manufacturers. Motional has extensive experience in commercial robotaxi operations, with service currently available on the Uber network in Las Vegas and plans for driverless operations by the end of 2026. Headquartered in Boston, Motional has operations in the U.S. and Singapore. To explore our current openings, please visit our careers page at motional.com/careers. Please be alert for job recruitment scams, including fraudulent job postings, offers, and communications by individuals or entities purporting to be affiliated with Motional. All of our third party job postings link back to our motional.com/careers page. Need assistance? If you have questions or want to report suspicious activity, send us a direct message - we’re here to help.