Machine Learning Research Visa Sponsorship Jobs in California
California is one of the most active states for machine learning research hiring, with major employers including Google, Meta, Apple, and Microsoft concentrated in the San Francisco Bay Area, plus research-driven companies in Los Angeles and San Diego. The state's university pipeline from Stanford, UC Berkeley, and UCLA feeds a competitive but well-established visa sponsorship ecosystem.
Find Machine Learning Research JobsOverview
Showing 5 of 1,127+ Machine Learning Research Jobs in California with Visa Sponsorship
See all 1,127+ Machine Learning Research Jobs in California with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Research Jobs in California with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Are you interested to work on the forefront of Battery Management Systems? In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment. The ideal individual will be proficient in this field, who has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products. Be a part of a team developing new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries.
DESCRIPTION
The BMS team is looking for battery algorithm software engineer to design and develop advanced battery and power management algorithms and software for various Apple products. Working with a cross-functional team including algorithms, software, and system engineers, you will be required to define SW architecture and write SW modules to implement innovative battery algorithms.
Responsibilities
- Develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment.
- Develop and commercialize robust battery management solutions for consumer, industrial, telecom or automotive products.
- Develop new class of battery systems involving algorithms, architectures and products to improve the utility of batteries.
- Design and develop advanced battery and power management algorithms and software for various Apple products.
- Work with cross-functional teams including algorithms, software, and system engineers and will define SW architecture.
- Write SW modules to implement innovative battery algorithms.
MINIMUM QUALIFICATIONS
- MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
- Experience in machine learning algorithms and deep learning applications.
- Experience programming in Python or C++.
PREFERRED QUALIFICATIONS
- PhD and 10+ years relevant industry experience.
- Experience with SW requirement definition and SW development process.
- Experience in the design and architecture of machine learning inference pipelines and underlying infrastructure.
- Experience in using AI coding tools and creating agentic AI applications.
- Experience in innovative and creative ML feature development in battery or consumer electronic domain.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Are you interested to work on the forefront of Battery Management Systems? In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment. The ideal individual will be proficient in this field, who has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products. Be a part of a team developing new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries.
DESCRIPTION
The BMS team is looking for battery algorithm software engineer to design and develop advanced battery and power management algorithms and software for various Apple products. Working with a cross-functional team including algorithms, software, and system engineers, you will be required to define SW architecture and write SW modules to implement innovative battery algorithms.
Responsibilities
- Develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment.
- Develop and commercialize robust battery management solutions for consumer, industrial, telecom or automotive products.
- Develop new class of battery systems involving algorithms, architectures and products to improve the utility of batteries.
- Design and develop advanced battery and power management algorithms and software for various Apple products.
- Work with cross-functional teams including algorithms, software, and system engineers and will define SW architecture.
- Write SW modules to implement innovative battery algorithms.
MINIMUM QUALIFICATIONS
- MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
- Experience in machine learning algorithms and deep learning applications.
- Experience programming in Python or C++.
PREFERRED QUALIFICATIONS
- PhD and 10+ years relevant industry experience.
- Experience with SW requirement definition and SW development process.
- Experience in the design and architecture of machine learning inference pipelines and underlying infrastructure.
- Experience in using AI coding tools and creating agentic AI applications.
- Experience in innovative and creative ML feature development in battery or consumer electronic domain.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Machine Learning Research Job Roles in California
See all 1,127+ Machine Learning Research Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Research Jobs in CaliforniaMachine Learning Research Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in California?
Large technology companies with significant California research operations, including Google DeepMind, Meta AI, Apple, Microsoft, and OpenAI, have established track records of sponsoring work visas for machine learning researchers. Semiconductor firms like NVIDIA and Qualcomm also sponsor regularly. Sponsorship patterns are publicly verifiable through Department of Labor Labor Condition Application disclosure data.
Which visa types are most common for machine learning research roles in California?
The H-1B visa is the most common visa for machine learning research positions in California, given that the role typically requires at least a bachelor's degree in computer science, statistics, or a related field. Researchers with exceptional recognition may qualify for the O-1A. Australians may use the E-3 visa, and Canadians and Mexicans may qualify under the TN visa category.
Which cities in California have the most machine learning research sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, concentrates the largest share of machine learning research sponsorship activity in California. Los Angeles has a growing cluster around entertainment technology and autonomous systems companies. San Diego has notable activity tied to biotech, defense research, and Qualcomm's AI division.
How to find machine learning research visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters machine learning research roles in California by employers with active visa sponsorship history. Rather than sifting through general job postings, you can search directly for California-based machine learning research positions where sponsorship is confirmed, which is especially useful if you're on OPT, an H-1B, or another time-sensitive status.
Are there any California-specific considerations for machine learning research visa sponsorship?
California's high concentration of H-1B-dependent employers means some companies must meet additional recruitment attestations under Department of Labor rules. The state's university pipeline, particularly from Stanford, UC Berkeley, and UCLA, creates strong competition for research roles. Prevailing wage levels in Bay Area metro areas are among the highest in the country for machine learning research positions, which affects the minimum wage an employer must pay on an H-1B petition.
What is the prevailing wage for sponsored machine learning research jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.