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, or application components. Developing a working understanding of the team's architecture, tooling, and deployment processes. Demonstrating initiative in learning new technologies and participating actively in team discussions. Building confidence in debugging, documenting, and collaborating across the engineering lifecycle. Why This Role Is a Strong Fit for New Graduates Broad exposure across AI, data engineering, and full-stack development, allowing you to explore multiple career paths. Mentorship from experienced engineers and opportunities for technical growth. Ability to work on impactful systems and contribute to production-level AI capabilities. A collaborative environment that values learning, experimentation, and continuous improvement. What you'll get from us (Benefits): GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. 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 . 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 or call us at 1-800-865-7580. 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(New College Graduate) Associate AI & Data Engineering Engineer