5+ years professional software engineering experience
Production-grade web application development
Scalable cloud infrastructure on gcp or azure
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General Motors (GM) is seeking a Senior AI/ML Full-Stack Engineer to design and build end-to-end software products for their Autonomous Vehicle Machine Learning Infrastructure team. The role involves extensive full-stack development, project ownership, and mentorship, with a strong emphasis on building scalable infrastructure to support cutting-edge AI and ML applications.
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Job Summary
This role focuses on developing infrastructure products that empower GM teams to perform machine learning and data science at scale rather than applying specific ML models.
The team builds end-to-end ML platforms supporting Embodied AI, Simulation, and Data Science across the organization.
GM offers a comprehensive benefits package including medical, dental, vision, retirement savings, and tuition assistance programs.
Matching Summary
Match Score: 75
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General Motors (GM) is seeking a Senior AI/ML Full-Stack Engineer to design and build end-to-end software products for their Autonomous Vehicle Machine Learning Infrastructure team. The role involves extensive full-stack development, project ownership, and mentorship, with a strong emphasis on building scalable infrastructure to support cutting-edge AI and ML applications.
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Salary
Base: $170,600-$261,300; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, retirement, paid vacation, tuition assistance
Skills & Requirements
Must-have
5+ years professional software engineering experience
Production-grade web application development
Scalable cloud infrastructure on GCP or Azure
Proficiency in Python, C++, or Golang
Relational and NoSQL database management
Nice-to-have
Experience with Kubeflow, Flyte, or Airflow
Kubernetes orchestration platform knowledge
Understanding of ML models and pipelines
Relevant academic publications
Startup mentality and adaptability
Key Requirements
Bachelor's, Master's, or Ph.D. in Computer Science or related field