Senior Machine Learning Engineer - ML Training Infrastructure

Discovery Senior Living Holdings, LLC; United States; Hybrid; USD 134,000 - 235,900; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid vacation

Tuition assistance programs

Job summary

Israelvcforum is seeking a Senior ML System Engineer to design and build scalable AI/ML platform infrastructure. This expert will collaborate with cross-functional teams to develop advanced AI solutions, primarily for intelligent driving technologies. The role includes analyzing and optimizing performance for distributed training workflows.

Applicants should have a Bachelor's degree in Computer Science and significant experience in software engineering, with a focus on AI/ML infrastructure. A competitive salary range of $134,000 to $235,900 is offered, along with various benefits.

The position allows for remote work but requires three in-office days weekly for those living within a 50-mile radius of specified locations.

Qualifications

• 5+ years professional software engineering experience.
• 2+ years specialized experience in AI/ML infrastructure for large models.
• Experience with distributed training for scaling ML models.

Responsibilities

• Design and develop scalable ML frameworks for model training.
• Optimize performance for distributed training workflows.
• Integrate new features and technologies into the platform.

Skills

Python programming

AI/ML infrastructure

Distributed computing

GPU computing

Cloud environments (AWS, GCP, Azure)

Education

Bachelor's or higher degree in Computer Science

Tools

PyTorch

TensorFlow

Job description

Job Description

The Role:

We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands‑on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state‑of‑the‑art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.

What You'll Do:

• Design and development of scalable, reliabile, high-performance ML framework to support model training at scale.
• Model training performance analysis and optimizaiton solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
• Raise the bar on system observability, debuggability, and operational excellence, and user experience.
• Collaborate with cross‑functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

• Bachelors or higher degree in Computer Science or equivalent major or equivalent experience
• 5+ years professional software engineering experience
• 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
• Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (prefered), TensorFlow, or similar
• Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
• Willingness to travel to Sunnyvale, CA as needed
• Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications)

• Self‑motivated, strong execution, impact‑delivering oriented
• Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
• Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
• Experience with profiling, analysis, debugging and optimizing training and dataloading performance.
• Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

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 the California Bay Area.

• Salary range: $134,000 to $235,900. 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.

Relocation:

This job may be eligible for relocation benefits.

Benefits:

• 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.

Remote:

This role is based remotely but if you live within a 50-mile radius of Mountain View, Detroit, Warren, Milford, you are expected to report to that location three times a week, at minimum.

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.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800‑865‑7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.