AV Safety Engineering Analytics AI/ML Engineer (GPSSC)

General Motors

Olympia, WA

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JOB DETAILS

SKILLS

Aerospace and Defense, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Atlassian JIRA, Audiovisual, Automotive Automation, Automotive Engineering, Autonomous Driving Systems, Best Practices, Big Data, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Lake, Data Visualization, Deep Learning, Docker, Ecosystems, Engineering Software, Equal Employment Opportunity (EEO), Federal Government, GitHub, Government, ISO (International Organization for Standardization), Identity Data Management, Industry Standards, Java, Jenkins, Leadership, Machine Learning, Mechanical Engineering, Mentoring, Metrics, Microsoft Access Database, Microsoft Windows Azure, Modeling Languages, Natural Language Processing (NLP), Needs Assessment, Oracle SQLPlus, Performance Analysis, Physics, Power BI, Problem Solving Skills, Process Improvement, Product Development, Product Safety, Publications, Python Programming/Scripting Language, R Programming Language, Regulations, Reinforcement Learning, Risk Management Framework (RMF), Robotics, Safety Engineering, Safety Systems, Safety/Work Safety, Simulation, Software Engineering, Sourcing Strategy, Supply Chain, Tableau, Team Player, Technical Leadership, Thought Leadership, U.S. National Institute of Standards and Technology (NIST), Web Browsers, Willing to Travel

LOCATION

Olympia, WA

POSTED

3 days ago

**Job 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. **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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) . **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 (https://search-careers.gm.com/en/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 (Careers.Accommodations@GM.com) us 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (https://search-careers.gm.com/en/working-at-gm/)** **Our Culture** **How we hire (https://search-careers.gm.com/en/how-we-hire/)** Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (https://search-careers.gm.com/en/locations/) We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.

About the Company

General Motors

LEADING THE CHARGE INTO TOMORROW
AtGeneral Motors, we are passionate about earning customers for life. This vision unites us as a team each and every day and is the hallmark of our customer-driven culture. In fact, there are a lot of exciting things to share about our company.

Our story starts on November 18, 2010, when we completed the world’s largest initial public offering, emerging with a solid financial foundation that enables us to produce great vehicles for our customers and build a bright future for employees, partners and shareholders.Leading the way is our seasoned leadership team who set high standards for our company so that we can give you the best cars and trucks.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1908

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