AI Engineer

Job Description

The Role:

The Staff AI Engineer is responsible for supporting and reinforcing the adoption of AI Software Engineering across the MFG IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity/efficiency.

The Staff AI Engineer will drive the identification, evaluation, and adoption of rapid iterative and incremental computer vision, machine learning, and deep learning software solutions together with Junior and Principal AI Engineers and our Manufacturing Engineering business partners.

• Have a steadfast drive for excellence
• Challenge themselves and their peers
• Enjoy working collaboratively in a cross-functional teams
• Demonstrate an excellent work ethic
• Have a strong ability and willingness to learn
• Excel in data science and deep learning
• Desire to deliver innovative solutions to complex problems
• Leads and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
• Perform complex design analysis
• Specify and balances system requirements
• Provide, communicate, and support common best practices among software community

• Definition and adoption of GM MFG AI capabilities.
• Identify opportunities to update and/or streamline the current AI and GM Robotics Engineering processes together with Manufacturing Engineering SMEs.
• Define and develop ML solutions in real-world environments.
• Computer Vision solutions in real-world environments.
• Ability to digest, design and deploy solutions based on research artifacts.
• Simulation
• Data Visualization
• Designing solutions at scale (minimize operational overhead).
• End to end understanding of systems and interfaces, so solutions can be built to fit within constraints.

• Master’s degree in Computer Engineering or Data Science
• In-depth Knowledge and experience with software development
• In-depth experience designing, training, testing and deploying deep learning models for vision applications
• In-depth experience with PyTorch, Tensor Flow, and/or Keras
• 10+ years of software engineering experience
• 10+ years of AI, ML, and/or data science experience
• In-depth Experience with Ops, MLOps and/or LLMOps

• PhD
• Publications
• In-depth knowledge of ML fundamentals
• Demonstrated experience in developing and deploying ML solutions for real world applications
• Experience in Cloud Technologies such as Docker, K8, and more generically on HPC platforms
• Knowledge in Java/C#, Python, SQL, C/C++
• Strong analytical skills and the ability to think outside the box

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 160,200 to 333,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.

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.

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).

This job may be eligible for relocation benefits.