Staff AI Engineer
General Motors2 days ago
Warren, MI, USAStaff+
Responsibilities
- Translate business problems into AI objectives, solution strategies, evaluation plans, and measurable success criteria.
- Develop predictive, forecasting, classification, segmentation, optimization, natural-language, generative-AI, and decision-support solutions.
- Build scalable batch and streaming ingestion, transformation, feature, embedding, knowledge, and retrieval pipelines.
- Create reusable data products, analytical datasets, semantic models, feature assets, and retrieval indexes.
- Build production-grade AI applications, APIs, services, assistants, dashboards, and workflow tools.
- Implement retrieval, grounding, tool use, orchestration, prompt management, evaluation, and human-in-the-loop patterns.
- Design and operate evaluation, monitoring, versioning, lineage, release, rollback, reproducibility, and reliability practices for AI systems.
- Investigate production issues and improve models, pipelines, services, prompts, and user experiences through structured iteration.
- Apply responsible-AI, privacy, security, data-governance, access-control, auditability, explainability, and human-oversight practices.
- Provide technical leadership, coaching, code reviews, documentation, reference architectures, and reusable AI engineering patterns.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field; an advanced degree is preferred.
- At least 8 years of professional experience across artificial intelligence, machine learning, data science, data engineering, software engineering, application development, or a closely related discipline.
- Experience taking AI, machine-learning, analytics, or data-product solutions from problem definition and proof of concept through production deployment and ongoing operation.
- Strong proficiency in Python and SQL, including production-quality code, testing, version control, documentation, and debugging.
- Hands-on experience with data-science and machine-learning libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or equivalent technologies.
- Experience building or integrating AI applications, APIs, services, data pipelines, applications, dashboards, or workflow tools.
- Experience with model development, feature engineering, experiment design, statistical analysis, AI evaluation, and communicating results to nontechnical audiences.
- Experience deploying and operating solutions through APIs, batch pipelines, notebooks-to-production workflows, applications, assistants, or comparable production patterns.
- Practical understanding of software and data engineering practices including automated testing, observability, dependency management, data quality, and release management.
- Experience with large-scale data platforms such as Databricks, Spark/PySpark, cloud data warehouses, or equivalent technologies.
- Ability to operate independently, make sound technical tradeoffs, and deliver in a fast-changing, cross-functional environment.
- Preferred experience includes large language models, prompt engineering, retrieval-augmented generation, embeddings, vector search, tool calling, agentic workflows, AI application evaluation, causal inference, forecasting, optimization, recommendation systems, natural-language processing, generative AI, MLflow, Azure, Azure AI Foundry, REST APIs, containerized deployment, cloud-native data services, application observability, governance, security controls, and enterprise AI platforms.
- Preferred domain experience includes automotive, sales, service, marketing, customer analytics, dealer analytics, warranty, incentives, forecasting, or other operationally complex domains.
Benefits
- Remote-based role; employees living within a specified radius of a GM hub are expected to report onsite three times per week or at another frequency set by their manager.
- The role is not eligible for relocation benefits, and selected candidates are responsible for relocation costs.
- GM provides benefits and Total Rewards resources beginning on day one.
- The role is not eligible for GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, and J-1 support.
Tech Stack
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.