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Added 6 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices.
Added 6 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
…engineering, frontend engineering, cloud engineering, mobile, AI/ machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You…
Added 6 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 7 hours ago
Manufacturing Engineer 3 - 30458
HII
Pocasset, MA
HII creates advanced unmanned solutions for defense, marine research and commercial applications. Serving customers in more than 30 countries, HII provides design, autonomy, manufacturing,…
Added 7 hours ago
Systems Engineer - 30471
HII
Pocasset, MA
HII creates advanced unmanned solutions for defense, marine research and commercial applications. Serving customers in more than 30 countries, HII provides design, autonomy, manufacturing,…
Added 10 hours ago
TT
Principal Software Engineer, Perception
True Talent Solutions Partners
Alameda, CA
- $300,000 to $380,000 USD / year
- Partner with autonomy, navigation, and applied machine learning teams to support safe vehicle behavior.
Added 11 hours ago
Principal Machine Learning Engineer
Atlassian
Remote, United States
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to…
Added 11 hours ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to…
Added 11 hours ago
TT
Research Engineer, Evals
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $290,000 USD / year
- Strong Python skills and experience with machine learning, LLMs, data pipelines, evaluation frameworks, web scraping, and NLP.
Added 12 hours ago
Senior Platform Software Engineer
Raydar
Palo Alto, CA
…infrastructure and developer tooling that helps engineering and research colleagues build, ship and run software with confidence. This is a hands-on, high-ownership position that blends…
Added 12 hours ago
Full Stack Software Engineer
Raydar
Palo Alto, CA
Raydar is recruiting for this role on behalf of our client. Join as an early engineer working across the whole stack, shipping software and tooling that bring advanced machine learning work…
Added 16 hours ago
GTM Systems Engineer
Roboflow
Remote, United States
We’re hiring a GTM Systems Engineer to build and scale the systems our revenue team runs on, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership,…
Added 16 hours ago
Sales Operations Analyst
Roboflow
Remote, United States
…closely with sales leadership, finance, and our GTM Systems Engineer. Revenue Operations owns the operating system for go-to-market at Roboflow: how pipeline is measured, how the forecast…
Added 17 hours ago
C
Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
- Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
Added 17 hours ago
TI
Member of Technical Staff - Senior Software Engineer (San Francisco, CA)
Tutor Intelligence
Watertown, MA
- $200,000 to $350,000 USD / year
We are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more…
Added 18 hours ago
PN
Research Engineer III - Building Energy Modeling
Pacific Northwest National Laboratory
Portland, OR · Richland, WA · Seattle, WA
- $112,500 USD / year
The BS&DG is seeking a Research Engineer III - Building Energy Modeling with strong knowledge of building energy systems, advanced hands-on EnergyPlus modeling expertise, programming and…
Added 18 hours ago
Senior Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Senior Machine Learning Engineer to help build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed with a clear path to production. This role…
Added 19 hours ago
ENGINEER MECHANICAL 4
Huntington Ingalls Industries
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 19 hours ago
SENIOR MODEL BASED SYSTEMS ENGINEER
HII
Newport News, VA
…opportunities. Enables digital transformation efforts by conducting research, driving new technical approaches and processes, as well as developing and managing testing of…
Added 19 hours ago
ENGINEER NUCLEAR 4
HII
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 19 hours ago
ENGINEER 1
HII
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 19 hours ago
ENGINEER NUCLEAR 3
HII
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 19 hours ago
ENGINEER MODEL-BASED 4
HII
Newport News, VA
…opportunities. Enables digital transformation efforts by conducting research, driving new technical approaches and processes, as well as developing and managing testing of…
Added 20 hours ago
Lead Software Development Engineer
MetLife
Cary, NC
…Analytics, QlikView and Power BI scripts and/or develop and test machine learning models and/or perform exploratory data analysis, develop SQL queries and stored procedures to support the…
Added 20 hours ago
AI/ML Engineer
Eurofins US Network
Groton, CT
This role provides hands-on experience with machine learning (ML), large language models (LLMs), automation, and data engineering, contributing to next-generation digital tools that…

General Motors

Senior Machine Learning Engineer - ML Training Infrastructure

Sunnyvale, CA, United States

The salary range for this role: is $170,000 to $240,800 .

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Job details

Pay: The salary range for this role: is $170,000 to $240,800 .
Posting language: English
Posted: Aug 25, 2026

Original job description

Remote/Hybrid

Sunnyvale, California, United States of America

Full time

JR-202618569

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

Your Skills & Abilities (Required Qualifications)

Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
5+ years professional software engineering experience.
1+ 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 (preferred), 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 data loading 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 New York, Colorado, California, or Washington.

The salary range for this role: is $170,000 to $240,800 . 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.
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.

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.

Relocation benefits are available for candidates who qualify under company policy.

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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

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 (https://search-careers.gm.com/en/how-we-hire) .

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 (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. 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.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.

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