Machine Learning Visa Sponsorship Jobs in California
California is the top state for machine learning visa sponsorship jobs, with major employers including Google, Meta, Apple, and NVIDIA headquartered here. The San Francisco Bay Area and Los Angeles drive most hiring, alongside a deep university pipeline from Stanford and UC Berkeley feeding world-class ML research and engineering talent into industry.
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You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Hardware Engineering (HWEng) team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies.
The ideal candidate for this role is knowledgeable of the full technical stack, from hardware up to the software. You have tremendous interest in cloud scale and curious how systems and software decisions impact users. You insist on the highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder!
What will you do?
You will be a member of the larger HWEng Storage organization and will lead ideation, design and implementation of new automation capabilities in the Solid-State Drive (SSD) team. These components are used by all of AWS server platform teams, e.g. AI/ML servers, storage servers, compute servers, etc. Given the sheer number of programs that this team supports and the scale at which Amazon operates, you will be expected to pitch new automation initiatives, optimize existing ones, and lead the SysDE community to eliminate tactical and redundant manual efforts.
You will work with engineers across the company for delivering the next-generation AWS Storage platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.
AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history!
Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for component customization that will directly benefit customers.
Why you will love it: You will work with engineers across the company to build next-generation storage servers. You will have a direct impact on our bottom line and the ability to deliver improvements for our developers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.
Key job responsibilities
You will be a member of the Solid-State Drives (SSDs) team, responsible for delivering high quality SSDs that seamlessly integrate into your customers’ products on a timely fashion and consistently enhance the quality and performance of customers’ products, fostering long-term partnerships. You will lead and develop automation with the end goal of improving SSD components’ quality used in NPI servers (New Product Introductions) and sustaining fleet servers. Key Responsibilities for this position include leading and implementing software (SW) best practices, author requirement documents for new architecture, publish comprehensive design docs along with trade-offs, SW development, testing and building diagnostic tools for continuous monitoring. A successful candidate in this role has prior hands-on SSD debugging experience on Linux systems and familiarity with kernel drivers and OS level software. Given our scale, it is critical to design tools, tests, infra that are future proof, scale and are stable. A SysDE in this position ideally has an understanding of server design and architecture to improve security, telemetry and debugging of hosts in production across ARM and x86. A successful candidate also has a growth mindset, learns fast, deep dives to solve variety of issues, and acts quickly to bring timely resolution to customers.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
PREFERRED QUALIFICATIONS
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually
DESCRIPTION
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Hardware Engineering (HWEng) team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies.
The ideal candidate for this role is knowledgeable of the full technical stack, from hardware up to the software. You have tremendous interest in cloud scale and curious how systems and software decisions impact users. You insist on the highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder!
What will you do?
You will be a member of the larger HWEng Storage organization and will lead ideation, design and implementation of new automation capabilities in the Solid-State Drive (SSD) team. These components are used by all of AWS server platform teams, e.g. AI/ML servers, storage servers, compute servers, etc. Given the sheer number of programs that this team supports and the scale at which Amazon operates, you will be expected to pitch new automation initiatives, optimize existing ones, and lead the SysDE community to eliminate tactical and redundant manual efforts.
You will work with engineers across the company for delivering the next-generation AWS Storage platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.
AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history!
Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for component customization that will directly benefit customers.
Why you will love it: You will work with engineers across the company to build next-generation storage servers. You will have a direct impact on our bottom line and the ability to deliver improvements for our developers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.
Key job responsibilities
You will be a member of the Solid-State Drives (SSDs) team, responsible for delivering high quality SSDs that seamlessly integrate into your customers’ products on a timely fashion and consistently enhance the quality and performance of customers’ products, fostering long-term partnerships. You will lead and develop automation with the end goal of improving SSD components’ quality used in NPI servers (New Product Introductions) and sustaining fleet servers. Key Responsibilities for this position include leading and implementing software (SW) best practices, author requirement documents for new architecture, publish comprehensive design docs along with trade-offs, SW development, testing and building diagnostic tools for continuous monitoring. A successful candidate in this role has prior hands-on SSD debugging experience on Linux systems and familiarity with kernel drivers and OS level software. Given our scale, it is critical to design tools, tests, infra that are future proof, scale and are stable. A SysDE in this position ideally has an understanding of server design and architecture to improve security, telemetry and debugging of hosts in production across ARM and x86. A successful candidate also has a growth mindset, learns fast, deep dives to solve variety of issues, and acts quickly to bring timely resolution to customers.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
PREFERRED QUALIFICATIONS
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually
Machine Learning Job Roles in California
See all 2,548+ Machine Learning Jobs in California
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Search Machine Learning Jobs in CaliforniaMachine Learning Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in California?
The most active sponsors for machine learning roles in California include Google, Meta, Apple, Microsoft, Amazon, NVIDIA, Salesforce, and Adobe, concentrated primarily in the Bay Area and Los Angeles. Semiconductor and AI chip companies like NVIDIA and Qualcomm also file significant numbers of sponsorships. Mid-size AI startups in San Francisco and Palo Alto round out the sponsoring employer base for ML engineers and researchers.
Which visa types are most common for machine learning roles in California?
The H-1B is by far the most common visa for machine learning roles in California, as ML engineering and research positions typically meet the specialty occupation requirement. Candidates with extraordinary recognition in the field may qualify for the O-1A. Australian citizens can use the E-3 as an H-1B alternative. Some roles at universities or national labs may fall under J-1 or F-1 OPT, particularly for recent graduates.
Which cities in California have the most machine learning sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, Palo Alto, and San Francisco itself, accounts for the majority of machine learning sponsorship jobs in California. Los Angeles has grown substantially, driven by entertainment technology, healthcare AI, and a strong startup ecosystem. San Diego also contributes, particularly through biotech and defense-adjacent AI applications at companies like Qualcomm.
How to find machine learning visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers targeting visa sponsorship roles, including machine learning positions across California. You can filter by state and role to surface employers with a documented history of sponsoring ML engineers and researchers in the Bay Area, Los Angeles, and beyond. Because sponsorship willingness varies widely by employer and role type, focusing on verified sponsors saves significant time in a competitive field.
Are there any California-specific considerations for machine learning visa sponsorship?
California's high cost of living means H-1B prevailing wage requirements in cities like San Francisco and San Jose sit at the upper end of national ranges for machine learning roles, which can actually work in candidates' favor since employers must meet those wage floors. The state's dense concentration of AI-focused companies and proximity to Stanford, UC Berkeley, and UCLA also creates a university-to-industry pipeline that keeps sponsorship activity consistently high compared to most other states.
What is the prevailing wage for sponsored machine learning 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.
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