Job Description
The Role:
As an Artificial Intelligence and Machine Learning Scientist you'll be part of a team that is pioneering the integration of simulation automation AI agents large language models (LLMs) and machine learning into critical systems for vehicle design calibration and performance. You will work cross-functionally with engineers data scientists simulation specialists domain experts and platform teams to define and execute high-impact AI/ML initiatives. Your role will blend hands-on development technical direction-setting and mentorship helping GM scale next-generation capabilities.
What You'll Do:
- Lead and/or support the integration of AI/ML into core engineering tools and simulation frameworks ensuring robustness interpretability and physical relevance of outputs.
- Translate complex engineering needs into actionable AI/ML solutions balancing innovation with stability and traceability.
- Use data analytics and signal processing to analyze simulation output data
- Develop custom feature extraction methods for predictive modeling - used in optimizations.
- Apply statistical methods ML Big data analytics anomaly detection methods and clustering to uncover patterns
- Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights
- Work collaboratively with a team of specialists ranging from data scientists simulation experts and calibration technical specialists to cohesively build new capabilities into our existing Co-Simulation (Digital Twin) framework.
- Lead and/or support the development and maintenance of cloud and/or on-prem databases.
- Define strategies for large-scale data ingestion embedding generation retrieval tuning and prompt optimization in production environments.
- Establish and champion engineering best practices coding standards and documentation norms for AI/ML systems across teams.
Your Skills and Abilities (Required Qualifications):
- Bachelor's degree in Computer Science Engineering or Mathematics
- Proficiency in modern programming languages such as Python and C/C++ (JavaScript optional depending on your stack) with strong foundations in object-oriented design and software architecture.
- 5+ years of experience developing and deploying machine learning or deep learning systems in production environments or 5+ years working in LLM development NLP or AI-driven automation.
- Solid understanding of data science big-data workflows and applied statistics; familiarity with signal-processing techniques is a plus.
- Strong experience in major ML frameworks and toolchains (e.g. PyTorch TensorFlow HuggingFace Transformers Scikit-learn XGBoost)
- Demonstrated experience with transformer architectures LLMs AI agents or models integrated with simulation workflows.
- Experience with retrieval-augmented generation (RAG) prompt engineering and embedding optimization.
- Excellent problem-solving skills with the ability to thrive in a demanding fast-paced work environment.
- Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.
What Can Give You a Competitive Edge (Preferred Qualifications):
- Master's or PhD in Computer Science Engineering Mathematics
- Experience in automotive or physical system simulation domains.
- Familiarity with co-simulation frameworks physical modeling tools (e.g. Simulink AMESIM) or automotive calibration workflows.
- Knowledge of optimization techniques (e.g. PSO GD) applied to AI-simulation or engineering workflows. *red flag if don't know what this is
- Experience with MLOps practices including containerized deployment (Docker Kubernetes) CI/CD pipelines and cloud-native model serving.
- Experience building scalable ML systems or full-stack AI pipelines using modern frameworks (e.g. FastAPI Ray cloud services).
- Willingness to learn and continue developing knowledge in an up-and-coming field.
- Visionary thinking: You identify and pursue novel AI/ML applications in engineering workflows.
- Strategic ownership: You drive initiatives from concept to integration influencing cross-org direction.
- Cross-domain fluency: You connect simulation embedded systems and data science to deliver tangible value.
- Commitment to mentorship: You uplift others and scale your expertise across the team.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
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.
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What We Do
At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.
Why Work With Us
At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.













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