Experience designing unique system performance metrics
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Motional is seeking a Senior Engineer for its Autonomy ML Systems team in Pittsburgh, responsible for evaluating machine learning subsystems in autonomous vehicles. The ideal candidate will have a strong background in safety-critical systems and machine learning, and will collaborate closely with cross-functional teams to enhance model performance.
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Job Summary
The team is responsible for verifying and validating the autonomy stack to build a definitive safety case for commercial robotaxi deployment.
Candidates will define advanced metrics and curate test sets to evaluate machine learning model performance across perception, prediction, and planning.
Motional offers competitive compensation including base salary, potential bonuses, equity, and comprehensive benefits like medical, dental, vision, and 401k matching.
Matching Summary
Match Score: 75
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Motional is seeking a Senior Engineer for its Autonomy ML Systems team in Pittsburgh, responsible for evaluating machine learning subsystems in autonomous vehicles. The ideal candidate will have a strong background in safety-critical systems and machine learning, and will collaborate closely with cross-functional teams to enhance model performance.
**
Salary
Base: $125,000 - $167,000 USD; Bonus/Equity: Additional forms of compensation may include bonus or company equity; Benefits: Medical, dental, vision, 401k with match, HSA, life insurance, pet insurance
Skills & Requirements
Must-have
5+ years safety critical systems experience
Python development for large scale data analysis
Experience designing unique system performance metrics
Cross-functional collaboration skills
Evaluation of ML models in autonomy
Nice-to-have
Experience training machine learning models
Knowledge of C++ for safety critical systems
Familiarity with ISO automotive standards
Deep expertise in perception or planning
Experience with regression testing in production
Key Requirements
Master's degree or Bachelor's with significant experience
5+ years in high-tech safety critical systems or robotics
Strong Python programming skills
Experience with systems verification and validation techniques