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.
We are looking for Staff AI Engineers who:
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
What You'll Do (Responsibilities):
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.
Your Skills & Abilities (Required Qualifications):
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, TensorFlow, 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
What Will Give You A Competitive Edge (Preferred Qualifications):
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
Compensation:
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.
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.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
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 role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
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
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