General Motors (GM) is actively hiring for 4 AI and machine learning positions, concentrated in AI/ML Engineer (2) and Data Scientist (2) roles. Positions are based in Austin, TX, US, Warren, MI, US. The most frequently requested skills across these postings are AWS, RAG, PyTorch, TensorFlow, Azure. Senior-level roles account for 100% of openings.

Skills & Technologies

AWS (4)RAG (4)PyTorch (3)TensorFlow (3)Azure (2)Docker (2)Kubernetes (2)Python (2)AI Agents (1)MLflow (1)

Locations

Austin, TX, US, Warren, MI, US

Hiring by Role Category

2 roles
2 roles

Open Positions (4)

AI/ML Engineer

Sr. Software Engineering Manager- AI Development

Austin, TX, US
AI/ML Engineer

Senior Engineer – Virtualization, AI &ML

Warren, MI, US
Data Scientist

Senior Software Engineer - Supply Chain

Warren, MI, US

Frequently Asked Questions

General Motors (GM) currently has 4 open AI positions across roles including AI/ML Engineer, Data Scientist. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
The most frequently requested skills in General Motors (GM)'s AI job postings are AWS, RAG, PyTorch, TensorFlow, Azure, Docker. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
General Motors (GM)'s AI positions are based in Austin, TX, US, Warren, MI, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.

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