Senior ML Validation Research Engineer
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 170600 - 261300
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
Role Overview
The Senior ML Validation Research Engineer will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation uncertainty modeling scenariocoverage automationand transforming advanced ML research into working prototypes that enhance the efficiency accuracy and coverage of ML system validation.
Key Responsibilities
Prototype research concepts intoperformanttools integrated into CI/CD and large-scale validation pipelines.
Advance ML research for openandandclosed loopsimulation validation.
Develop scenario generation coverage-guided testing andrare-eventdiscovery tooling.
Create robust metricspredictorsuncertaintyandOut-of-Distributiondetection methods for autonomy ML systems.
Evaluate deep learning modules acrossperception prediction and planning in realistic sensor and traffic simulation.
Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
Collaborate with Simulation Safety Systems Engineering and cross-functional partners.
Author technical documentation white papers and contribute to validationmethodologystandards.
Research Focus Areas
Scenario synthesis (diffusion models generative models counterfactuals)
Coverage-based and fuzzing-based evaluation for autonomy behavior
Uncertainty estimation calibration conformal prediction OOD detection
Robustness testing and perturbation frameworks
Test suite prioritization failure mining and regression analysis
Minimum Qualifications
MS 5years orPhD 3 years in ML Robotics Computer Science or work related experience .
Experience with simulation-driven ML evaluation for robotics/autonomy.
Strongproficiencyin PythonPyTorch/JAX/TensorFlow.
Demonstratedability to translate complex ML research ideas into functional prototypes.
Experience integrating ML evaluation into CI/CD pipelines.
Proven research impact through published work internal tools or patents.
Strong communicationskills and ability to collaborate cross-functionally.
Preferred Qualifications
Experience with autonomy stacks (perception/prediction/planning).
Familiarity with CARLA SVLDriveSim Applied Intuition or equivalent simulation platforms.
Knowledge of Bayesian ML causal inference and sequential testing.
Experience with digital twin systems and sensor simulation.
Understanding ofautomotive safety standards (ISO 26262 UL 4600 SOTIF).
Experience buildingvalidationdashboards and scorecards connected to release criteria.
Success Criteria
Faster detection of ML regressions with improved test efficiency.
Improved uncertainty and robustness metrics that support release decisions.
Prototype tools integrated into production validation workflows.
Tangible contributions to simulation strategy hazard coverage and ML confidence scoring.
Compensation:
The expected base compensation for this role is:
$170600-$261300
Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions if applicable.
Bonus Potential:An incentive pay program offers payouts based on company performance job level and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.
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Benefits Overview
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Required Experience:
Senior IC
Key Skills
- Python
- SOC
- Debugging
- C/C++
- FDA Regulations
- Minitab
- Technical Writing
- GAMP
- OS Kernels
- Perl
- cGMP
- Manufacturing
About Company
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