machine learningengineerartificial intelligence

The AV Safety Strategy and Assessment team is seeking an AI SafetyTechnicalLeader with deep experience across the full end-to-end development lifecycle of automated driving system (ADS)technologydriven by artificial intelligence and machine learning models. As the AI Safety Principal Engineer, you will stay current on industry best practices and standards while guiding the development of GM's AI safety strategyfor autonomous vehicles(AV). This role requiressignificantexperiencedrivingthetechnologydevelopment and validation of AI models for safety-critical applications. The ideal candidate will bring strong AI domainexpertiseacross safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.

Ifyou'repassionate about autonomous vehicle technology, committed to advancing safety through innovation, and are a proven technical leader, this role offers an exciting opportunity to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As theAI Safety Principal EngineerforAV,you will work closely with cross-functional partners and customers to define safety strategies andsufficiency criteriafor AI/ML-basedADSfeatures. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on newAI/MLsolutions,andevaluate the safety of models and cloud environmentsto supportsafety-critical applications. In this role, you will alsoprovidesafety guidance to a team of AI/ML developersand system engineers.Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GM's AI safety case framework and help ensure the safe deployment of AI-enabledADStechnologies.

WhatYou'llDo(Responsibilities)

• Lead the development of AI safety strategies forADSandestablishsafetyengineering guidance and sufficiency criteria.

• Actively engage with partnersand seek input,provide technicalexpertiseto inform leadership decision-making,and take ownership of technical projects

• Define GM's strategy for AI safetystandards,engage externally toinfluence evolving standards, and contribute tointernal and externalthought leadership that strengthens GM's position in the autonomous vehicle ecosystem.

• Support regulatory rulemaking and policy responses related to AI safety-critical systems.

• Establish an assurance plan and process to evaluate AI-related safety case evidence and verify that sufficiency criteria are met.

• Provide AIexpertiseand safety guidance across Global Product Safety, Systems, and Certification activities.

• Identifyand drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.

• Mentor and develop team members, fostering a culture of technical excellence and continuous learning.

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• 10+ years of experience inAI/ML,engineeringor a related field

• 5+ years in autonomous vehicles,roboticsor related field

• Experience in the following:

• Machine Learning& AI:Extensiveexperience in buildinglarge-scalemodelswithsignificantfocus onE2Evalidation.Experience usingLarge Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM,XGBoost, Random Forest, Decision Trees, Clustering

• AI Standardsand Evolving Regulations:Understanding ofISO/PAS8800,NIST AI Risk Management Framework,EU AI Act (2024-2027),otherapplicable industry standards and best practices for autonomous vehicles,aerospaceand/or robotics.

• Programming & Frameworks: Python, R, Java,PySpark,PyTorch, TensorFlow, Scikit-learn,LangChain, SQL

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure-Data Lake, Machine Learning, Databricks),Nice to Have(AWS-S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform)

• Deployment &MLOps:MLflow,Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau,PowerBI, Pandas, NumPy

• Proventrack recordproviding technicalsafetyand validationleadership in AI/MLdevelopmentand deployment

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give YouACompetitive Edge (Preferred qualifications)

• Master'sorPh.D.inComputer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• Relevant publication

• Expertisewith Large Language Models solutions from business problem statement to cloud deploymentthat have provided significant incremental business value

• Experience with generative AIsolutions that you have developed and deployed into a production environmentthat have provided significant incremental business value

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. * The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. * 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.

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is tohelpGM delivertrustworthyautomated-driving products.As the central authority for automateddriving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop andmaintaina comprehensive safety caseincluding safety performance indicatorsfor GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion-and autonomous vehicle safety is essential to achieving that vision., Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies., We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.