(New College Graduate) Associate AI & Data Engineering Engineer

General Motors; Warren (MI); Hybrid; USD 70,000 - 90,000; Full time

Job summary

General Motors is seeking a new college graduate to join our software and data science teams at the Warren, MI campus. You will work on data pipelines, ML workflows, backend services, and frontend applications in a collaborative, fast-paced environment.

The role emphasizes foundational skills, curiosity, and quick learning, with exposure to modern AI infrastructure and end-to-end development. Hybrid work requires reporting to the office at least three times per week.

Qualifications

• Bachelor's degree in CS, DS, Engineering, Mathematics, or related field.
• Strong programming fundamentals.
• Understanding of data structures, algorithms, and basic database concepts (SQL or NoSQL).
• Foundational knowledge of data science or machine learning concepts, including model training and evaluation.
• Familiarity with at least one modern front-end framework or a willingness to learn.
• Ability to work with Linux-based environments and developer tools (Git, CLI, build systems).
• Interest in modern cloud, AI, and platform technologies.

Responsibilities

• Develop and maintain data pipeline, analytics workflows, and datasets that support machine learning and data-driven systems.
• Contribute to the design, training, evaluation, and deployment of machine learning models under the guidance of senior engineers and data scientists.
• Support AI infrastructure engineering, including containerized workloads, batch processing, and model-serving APIs.
• Write production-quality code in Python or Java or Go depending on project requirements.
• Build UI components or dashboards using front-end frameworks such as React or standard web technologies.
• Follow engineering best practices, including version control, testing, documentation, and code reviews.
• Collaborate with team members during sprint planning, design discussions, and technical reviews.

Skills

Python

Java

Go

Front-end frameworks

Git

CLI

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field

Tools

Docker

Kubernetes

React

Git

Job description

Job Description

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.)

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum.

Location:

Warren, Michigan - GM Global Technical Center - Cole Engineering Center

The Team:

Software-defined vehicles are revolutionizing the automotive industry, driven by technological advancements and the growing demand for intelligent, safer, and more environmentally sustainable transportation solutions. At the heart of this transformation is software-the driving force behind communication, security enhancements, real-time updates, data processing, and a seamless user experience. These innovations extend beyond consumer benefits, offering significant advantages for business owners. The adoption of advanced software solutions serves as a catalyst for increased efficiency, cost reduction, enhanced safety, improved decision‑making, and higher employee satisfaction. This enables businesses to achieve their goals and stay competitive in a rapidly evolving market. Additionally, our solutions are designed to accelerate the transition to electric vehicles, contributing to the decarbonization of the transportation sector. At General Motors, we are on an ambitious journey to lead the development of next‑generation software solutions for commercial fleet owners and drivers, from small and medium‑sized businesses to large enterprises. As a leading OEM, our vast fleet of GM vehicles operates globally, giving us a unique advantage in controlling both in‑vehicle and cloud software. This allows us to deliver seamless solutions in fleet management, energy optimization, transportation logistics, safety systems, and more.

The Role:

We are seeking a new college graduate with interests across data science, AI/ML, and software engineering. In this role, you will work with data pipelines, machine learning workflows, backend services, and front‑end applications. You don't need deep expertise in every area what matters is strong foundational skills, curiosity, and the ability to learn quickly. This position offers exposure to real engineering problems, modern AI infrastructure, and end‑to‑end development workflows in a collaborative environment.

Responsibilities

• Develop and maintain data pipeline, analytics workflows, and datasets that support machine learning and data‑driven systems.
• Contribute to the design, training, evaluation, and deployment of machine learning models under the guidance of senior engineers and data scientists.
• Support AI infrastructure engineering, including containerized workloads, batch processing, and model‑serving APIs.
• Write production‑quality code in Python or Java or Go depending on project requirements.
• Build UI components or dashboards using front‑end frameworks such as React or standard web technologies.
• Follow engineering best practices, including version control, testing, documentation, and code reviews.
• Collaborate with team members during sprint planning, design discussions, and technical reviews.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (recent or upcoming graduate).
• Strong programming fundamentals.
• Understanding of data structures, algorithms, and basic database concepts (SQL or NoSQL).
• Foundational knowledge of data science or machine learning concepts, including model training and evaluation.
• Familiarity with at least one modern front‑end framework or a willingness to learn.
• Ability to work with Linux‑based environments and developer tools (Git, CLI, build systems).
• Interest in modern cloud, AI, and platform technologies.

What will give you a Competitive Edge (Preferred Qualifications):

• Internship, research project, or academic experience involving ML, data engineering, cloud platforms, or software development.
• Exposure to Docker, Kubernetes, containerized development, or workflow orchestration systems.
• Experience with ML frameworks such as scikit‑learn, PyTorch, or TensorFlow.
• Experience building web interfaces, dashboards, or interactive visualizations.
• Familiarity with cloud providers (AWS, Azure, or GCP) and basic compute/storage concepts.

What Success Looks Like in the First 3-6 Months

Contributing meaningful code to production or pre‑production environments.

Taking ownership of tasks related to AI infrastructure, data pipelines, ML workflows, o