Base: 160,200 to 333,400; bonus/equity: incentive ...
Computer vision
Machine learning
Deep learning
The Staff Software Engineer – Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency
Job Summary
The Staff Software Engineer – Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency.
Design and develop ML solutions for real-world environments and develop and implement computer vision solutions in real-world applications.
GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, paid vacation & holidays, and more.
Matching Summary
The Staff Software Engineer – Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency.
Salary
Base: 160,200 to 333,400; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, life insurance, paid vacation & holidays, tuition assistance, vehicle discounts, and more.
Skills & Requirements
Must-have
Computer Vision
Machine Learning
Deep Learning
PyTorch, TensorFlow, Keras
MLOps, LLMOps
Nice-to-have
Drive for excellence
Collaborative, cross-functional environments
Innovative solutions
Cloud technologies
ML fundamentals knowledge
Key Requirements
Master’s degree in Computer Engineering or Data Science
8+ years of software engineering experience
6+ years of AI, ML, and/or data science experience
4+ years of deep learning vision experience
In-depth experience with Ops, MLOps, and/or LLMOps