General Motors

AV Safety Engineering Analytics AI/ML Engineer (GPSSC)

General Motors • $120K — $150K *
US-AnywhereRemote in United States
Manufacturing & Automotive
8 - 10 years of experience
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Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or related field; or equivalent practical experience in 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
  • Extensive experience in machine learning methodologies such as LLMs, reinforcement learning, and various ML algorithms
  • Proficiency in programming languages and frameworks like Python, R, TensorFlow, and PySpark
  • Experience with cloud platforms and big data processing, particularly in Azure or AWS
  • Excellent communication skills and a collaborative mindset.

Responsibilities

  • Develop data analytics infrastructure for safety assurance in automated vehicle development
  • Apply AI/ML methods for validating safety performance of automated driving systems
  • Mentor team members in AI/ML implementation for safety analytics
  • Establish metrics for monitoring operations and launch readiness
  • Leverage internal and external data sources for AI/ML safety monitoring
  • Implement cloud-based analytics solutions for driving performance
  • Contribute to GM's data sourcing strategy for AV safety assurance

Benefits

  • Participation in a company vehicle program after a motor vehicle report review
  • Support for personal well-being with various total rewards resources
  • Commitment to non-discriminatory and inclusive workplace practices
  • Opportunities for career development and growth
  • Accessibility accommodations provided during the hiring process
Full Job Description
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.

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 ([redacted]), 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."

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

#LI-SA2

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

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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