1

Battery Machine Learning Jobs in California (NOW HIRING)

Senior AI/ML Engineer

Mountain View, CA · On-site +1

$170K - $261K/yr

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... You will focus on advancing the frontier of machine learning to solve complex, open-ended problems ...

Machine Operator

Perris, CA · On-site

$17.25 - $20.75/hr

... battery energy storage, data center, and utility markets. All of our products meet or exceed ... Ambition: will ask questions, will take notes, and will show interest in learning new things, once ...

Data Engineer III

Cupertino, CA · On-site

$75 - $85/hr

... battery modeling and algorithm knowledge and hands on experiences in data analysis and Matlab programing. * Experience with Matlab is required, C++/python is a plus * Experience with machine learning ...

... battery psychological assessments. Treatment focuses on a trauma-informed care model, inclusive of group and individual therapy via evidence-based interventions (e.g., CBT, DBT skills, ACT ...

Principal AI/ML Engineer

Sunnyvale, CA · On-site

$296K - $423K/yr

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... This role combines deep technical leadership in machine learning and robotics with people ...

... battery psychological assessments. Treatment focuses on a trauma-informed care model, inclusive of group and individual therapy via evidence-based interventions (e.g., CBT, DBT skills, ACT ...

next page

Showing results 1-20

Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in California? For Battery Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in California look for? The top searched job categories for Battery Machine Learning jobs in California are:
What cities in California are hiring for Battery Machine Learning jobs? Cities in California with the most Battery Machine Learning job openings:
Infographic showing various Battery Machine Learning job openings in California as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Staff ML Infrastructure Engineer

Staff ML Infrastructure Engineer

General Motors

Sunnyvale, CA • On-site, Remote

$189K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

General Motors

Based on 309 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,228 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Staff ML Infra Engineer, you willdrive the development of core systems that enable rapiddataset generation,training, evaluation, and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodels,yourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.

You will deliver model training pipelinesthat are performant, easy to use, and exceptionally reliable.Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and highperformance training platforms you help create.

What you'll do:

  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.

  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.

  • Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline.

  • Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.

  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.

  • Mentor and onboard junior engineers and interns, helping them grow their careers.

What you'll bring:

  • 5+ years of experience building large-scale distributed systems, applications, or advanced ML systemsscale distributed systems, applications, or advanced ML systems

  • Proventrack recordof designing robust frameworks with high-quality, durable APIs.

  • Deep understanding of machine learning algorithms with handson application

  • Expertisein building reliable, high-performance, and cost-efficient systems on modern cloudinfrastructureperformance

  • End-to-end experience across the ML development lifecycle, includingMLOpspractices

  • Strong cross functional collaboration skills across teams andorganizations

  • Exceptional coding skills in Python or C++

  • Strong interest in autonomous driving and its transformative potential

  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience

Nice to have:

  • Experience with distributed training methodologies

  • Experience scaling ML training across large GPU/CPU clusters or other accelerators

  • Familiarity with deep learning frameworks (e.g.,PyTorch, TensorFlow)

  • Experience with performance profiling andstate-of-the-arttraining optimization techniques, including their impact on model performance oftheart training optimization techniques, including their impact on convergence.

  • Experience with advanced build systems (e.g., Bazel, Buck, Blaze,CMake)

  • Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes)

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $189,300.00 to $290,700.00. 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 incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Relocation: This job may be eligible forrelocationbenefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

#LI-CX1

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

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 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.


Working at General Motors


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908