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AV Safety Engineering Analytics AI/ML Engineer (GPSSC)
Location
District of Columbia
Posted
99 days ago
Salary
$0
Seniority
Lead
Job Description
AV Safety Engineering Analytics AI/ML Engineer (GPSSC)
General Motors
Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're passionate about the benefits of autonomous vehicle technology, committed to advancing safety through AI and ML, and love channeling big data into clear guidance, this role offers exciting opportunities to make a meaningful impact on the future of transportation safety in a dynamic and fun environment. As part of the AV Safety Engineering Analytics team, you will be the subject matter expert in appropriately implementing AI/ML methods for safety assurance analytics. You will work closely with cross-functional partners and internal customers to consider opportunities for appropriate use of AI/ML methods to organize safety related data, and evaluate driving performance. You will engage deeply with other members of the AV Safety Engineering Analytics team, and stakeholders, to understand their challenges and needs, collaborate to develop solutions using your expertise in AI/ML. What You'll Do - Contribute to the development of data analytics infrastructure that supports safety assurance analytics addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data. - Apply your AI/ML expertise to developing trustworthy and explainable methods for validating the safety performance of an AI/ML based automated driving system. - Mentor and develop team members in the appropriate implementation of AI/ML to support the mission of the SAFE-ADS department and AV Safety Engineering Analytics team. - Pilot and develop metrics for monitoring of development operations and deployment, and establish sufficiency criteria for launch readiness. - Develop methods for leveraging a variety of internal and external data sources for AI/ML based safety monitoring and contribute to the development of a reliable supply chain of continuously flowing data from a variety of sources (internal and external) to support safety assurance related activities. - Implement cloud-based continuous up-time analytics solutions for monitoring driving performance for safety and generating browser based interactive visualizations and periodic reporting artifacts. - Actively contribute to determining appropriate use of AI/ML approaches within automated driving systems and provide technical expertise to inform leadership decision-making regarding mechanisms for ensuring they are trustworthy and explainable. - Through AI/ML expertise, contribute to the definition of GM's data sourcing and processing strategy for AV safety assurance needs, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM's position in the autonomous vehicle ecosystem. - Represent SAFE-ADS in AI/ML related discussions across Global Product Safety, Systems, and Certification activities. - Identify and drive opportunities to improve the efficiency, quality and transparency of safety analytics within GPSSC and across GM. Your Skills & Abilities (Required Qualifications) - Master's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience focused on AI/ML - 10+ years of experience in large scale analyses of vehicle related data - 5+ years in safety-critical AI/ML systems in automotive engineering applications - Experience in the following: - Machine Learning & AI: Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering - AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. - Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL - Cloud & Big Data: Experience in cloud-based large scale process including notifications, queuing, serverless cloud functions, event driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc. ( Microsoft Azure - Data Lake, Machine Learning, Databricks), (AWS - S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) - Deployment & MLOps: CI/CD, MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform - Data Analysis & Visualization : Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy - Proven track record providing technical leadership in AI/ML applied to safety-critical systems - 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 You A Competitive Edge (Preferred qualifications) - Record of involvement in public AI/ML related discourse through conference participation or publications. - Experience productionizing the use of AI/ML within the corporate setting. "Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through 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." GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. #LI-SA2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us 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. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) 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. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Benefits
- 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Company-sponsored outings, Company sponsored family events, Continuing education stipend, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Documented equal pay policy, Volunteer in local community, Employee stock purchase plan, Family medical leave, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Open door policy, Life insurance, Charitable contribution matching, Mean gender pay gap below 10%, Mentorship program, Paid volunteer time, Online course subscriptions available, Onsite gym, Open office floor plan, Paid holidays, Paid industry certifications, Paid sick days, Onsite office parking, Partners with nonprofits, Performance bonus, Promote from within, Recreational clubs, Lunch and learns, Relocation assistance, Remote work program, Return-to-work program post parental leave, Team based strategic planning, OKR operational model, Team workouts, Continuing education available during work hours, Tuition reimbursement, Mandated unconscious bias training, Vision insurance, Wellness programs, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity, Fertility benefits, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Hybrid work model, Pay transparency, Transgender health care benefits, Personal development training, Flexible time off, Floating holidays, Company-wide vacation
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