Machine Learning Manager Visa Sponsorship Jobs in California
California is the top state for machine learning manager visa sponsorship, driven by major tech employers like Google, Meta, Apple, and Amazon across the San Francisco Bay Area, Los Angeles, and San Diego. These roles sit at the intersection of research and engineering leadership, making them strong candidates for H-1B visa and EB-2 sponsorship.
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Get Access To All JobsAt Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives.
Ready to make an impact?
Description
The Core Display Incubation team is looking for an Experience Prototyping engineer to join a team of multi-talented engineers building future-looking display prototypes. The Machine Learning Engineer consists of leveraging novel display technologies to build experience prototypes and help set the future direction of the Display Hardware organization.
Responsibilities
- Prototype new applications and experiences for emerging optics and display systems
- Explore novel display applications and features through display module and sensor integration
- Drive cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
- Lead technical discussions and prepare presentations, papers, and talks to communicate your inventions and establish thought leadership
- Establish coding standards, best practices, and technical strategies for your team
Minimum Qualifications
- PhD studying computer graphics, optics, computer vision, or a related field
- Experience in deep learning frameworks such as PyTorch
- Proficiency in Python development, using best coding practices
- Strong engineering background in computer vision, computer graphics, or similar field, with knowledge of the human visual system
- Proficiency in C++, Swift, or another object-oriented programming language
- Experience in SDK programming for hardware interfaces
- Strong analytical, critical thinking, and problem-solving skills
- Strong interpersonal skills for working with cross-functional teams
- Excellent written and verbal communication
Preferred Qualifications
- Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields
- Excellent math skills, including linear algebra, computational science and optimization
- Creativity and curiosity for solving highly complex problems
- Excellent communication and collaboration skills
- Experience using motion capture systems like OptiTrack
- Experience using head-mounted eye tracking
- Experience developing applications in Xcode using Swift
- Hands-on experience prototyping novel hardware setups, with associated algorithm development
- Experience designing and conducting human perception related experiments
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 $150,400 and $225,300, 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.
At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives.
Ready to make an impact?
Description
The Core Display Incubation team is looking for an Experience Prototyping engineer to join a team of multi-talented engineers building future-looking display prototypes. The Machine Learning Engineer consists of leveraging novel display technologies to build experience prototypes and help set the future direction of the Display Hardware organization.
Responsibilities
- Prototype new applications and experiences for emerging optics and display systems
- Explore novel display applications and features through display module and sensor integration
- Drive cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
- Lead technical discussions and prepare presentations, papers, and talks to communicate your inventions and establish thought leadership
- Establish coding standards, best practices, and technical strategies for your team
Minimum Qualifications
- PhD studying computer graphics, optics, computer vision, or a related field
- Experience in deep learning frameworks such as PyTorch
- Proficiency in Python development, using best coding practices
- Strong engineering background in computer vision, computer graphics, or similar field, with knowledge of the human visual system
- Proficiency in C++, Swift, or another object-oriented programming language
- Experience in SDK programming for hardware interfaces
- Strong analytical, critical thinking, and problem-solving skills
- Strong interpersonal skills for working with cross-functional teams
- Excellent written and verbal communication
Preferred Qualifications
- Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields
- Excellent math skills, including linear algebra, computational science and optimization
- Creativity and curiosity for solving highly complex problems
- Excellent communication and collaboration skills
- Experience using motion capture systems like OptiTrack
- Experience using head-mounted eye tracking
- Experience developing applications in Xcode using Swift
- Hands-on experience prototyping novel hardware setups, with associated algorithm development
- Experience designing and conducting human perception related experiments
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 $150,400 and $225,300, 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 Manager Job Roles in California
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Search Machine Learning Manager Jobs in CaliforniaMachine Learning Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning managers in California?
The most active sponsors for machine learning manager roles in California include Google, Meta, Apple, Amazon, Microsoft, Salesforce, Adobe, and NVIDIA. Biotech and fintech employers such as Gilead Sciences and Stripe also sponsor these roles. DOL Labor Condition Application disclosure data consistently shows these companies filing for senior ML and AI management positions at scale across California offices.
Which visa types are most common for machine learning manager roles in California?
The H-1B is the most common visa for machine learning managers in California, as the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates with exceptional research records may qualify for the O-1A. Those pursuing permanent residence often transition through EB-2 NIW or employer-sponsored EB-2 or EB-3 PERM pathways.
Which cities in California have the most machine learning manager sponsorship jobs?
The San Francisco Bay Area accounts for the largest share of machine learning manager sponsorship jobs in California, concentrated in San Francisco, Mountain View, Menlo Park, Sunnyvale, and Cupertino. Los Angeles is a secondary hub, with growth in AI-focused companies and entertainment technology. San Diego has a smaller but active cluster tied to biotech and defense technology employers sponsoring ML leadership roles.
How to find machine learning manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically to roles offering visa sponsorship, so you can search machine learning manager positions in California without sifting through employers unlikely to sponsor. The platform is built for international candidates, covering H-1B and other common work visa categories. Filtering by state and role on Migrate Mate narrows results to California employers actively seeking sponsored ML managers.
Are there state-specific considerations for machine learning managers seeking visa sponsorship in California?
California's prevailing wage requirements under DOL guidelines are among the highest in the country, reflecting the Bay Area and Los Angeles cost of living. Employers filing H-1B Labor Condition Applications for machine learning manager roles in California must attest to wages meeting or exceeding the prevailing wage for the specific metropolitan area. California's strong university pipeline from Stanford, UC Berkeley, and UCLA also means significant competition for sponsored roles.
What is the prevailing wage for sponsored machine learning manager 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.