General Motors

Senior Machine Learning Engineer

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science or a related field, or equivalent experience, with over 5 years of professional software engineering experience. A minimum of 2 years of specialized experience in AI/ML infrastructure, particularly in enabling distributed training for large ML models, is required. Strong programming skills in Python, with proficiency in frameworks like PyTorch, TensorFlow, or similar, are essential. Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure) is necessary. Willingness to travel to Sunnyvale, CA as needed and comfort working in highly ambiguous and dynamic environments are also required.

Responsibilities

The Senior Machine Learning Engineer will design and build scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development. Responsibilities include participating in the design and development of scalable ML frameworks for large-scale model training, performing model training performance analysis and optimization for distributed workflows, and enhancing system observability, debuggability, and user experience. Collaboration with cross-functional teams to integrate new features and technologies into the platform is also a key duty.

Skills

ML Training Infrastructure
AI/ML platform infrastructure
Distributed training
Model training
GPU computing
Cloud environments
AWS
GCP
Azure
Python
PyTorch
TensorFlow
Software engineering
System observability
Debugging
Operational excellence

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters
1908Year Founded
$486.7MTotal Funding
IPOCompany Stage
Automotive & Transportation, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Company Match
401(k) Retirement Plan
Tuition Reimbursement
Student Loan Assistance
Flexible Work Hours
Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.
Chevrolet Equinox EV recall could harm GM's safety reputation.
Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.
GM leads in board diversity with 55% women directors.
GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.
Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.
Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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