Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
The Role
The Sr Data Scientist – AV Safety will drive development and evaluation of autonomous vehicle (AV) performance KPIs ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM’s vision is zero crashes, zero emissions, and zero congestion – AV safety is at the heart of driving forward this vision.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries. They will be a self-starter and comfortable solving ambiguous problems.
As a member of the SAFE-ADS data science team, you will focus on scaling data science work and accelerating time-to-delivery in insights related to autonomous vehicle performance and safety measurement. you'll play a key role in advancing GM's AV quantitative risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework a foundational component of the overall safety case that guides decision-making across the entire AV technology stack.
What You’ll Do (Responsibilities)
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Develop and implement scalable autonomous vehicle performance measurement solutions to ensure safe and compliant on-road behavior
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Develop and standardize best practices of safety risk assessment across the company
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Develop and automate pipelines and tooling of the risk assessment framework
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Conduct statistical analysis to evaluate autonomous driving software
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Raise the bar for on-road safety by continuously improving safety and autonomous vehicle measurement and developing a feedback loop for software improvements
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Collaborate across various autonomous vehicle development teams, including GPSSC and Software & Services organizations
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Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
