Machine Learning Manager Jobs in USA with Visa Sponsorship
Machine Learning Manager roles rank among the most actively sponsored positions in tech, with employers filing H-1B petitions consistently for candidates who combine technical depth with team leadership. A master's or PhD in computer science, statistics, or a related field typically supports the specialty occupation requirement. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best work. Here at Apple, you’ll do more than join something - you’ll add something.
The Voice Production and Modeling team is looking for a manager to lead our Voice Character Development team. Join us and lead the revolution in AI voice creation where we marry craftsmanship, engineering and machine learning to create unique, distinctive voice characters that delight our customers. You’ll work with a diverse team of interaction designers and machine learning engineers to develop the underlying technologies and build out processes that enable character development at scale, including auto and human quality validation, audio generation and modeling experiments. If you're passionate about creating exceptional AI products where automation and human expertise work in harmony, this is the role for you!
Description
This position offers an opportunity to shape the voice landscape of Apple Intelligence features at this critical moment in the AI field. The ideal candidate will combine an intuitive understanding of cutting-edge machine learning capabilities with an eye for when a human touch is required to create something truly exceptional. Delivering products that adhere to responsible AI and safety standards is a key part of the team’s mission and you’ll help to drive and champion this critical work with cross-functional partners.
As a manager, your team's success is your number one priority. You'll be responsible for cultivating a high-performing team that balances technical innovation with creative excellence. This means setting clear vision and strategy, removing obstacles that prevent your team from doing their best work, and fostering an environment where both rigorous engineering and artistic craftsmanship can thrive. You'll guide technical decisions while empowering your team to take ownership, and you'll be the bridge between your team's groundbreaking work and broader organizational goals.
MINIMUM QUALIFICATIONS
- 2+ years experience leading a software or machine-learning team in the speech technology space
- 7+ years in a hands-on machine learning role with demonstrable product impact
- Experience taking responsibility and ownership of features and the product roadmap
- Excellent interpersonal skills and experience working with people from a wide variety of backgrounds (engineers, designers, researchers, etc.)
- Committed to encouraging an open and inclusive work environment
- Demonstrated ability to communicate effectively, collaborate, and build long-term relationships across the organization
PREFERRED QUALIFICATIONS
- Bachelors degree in Computer Science, Artificial Intelligence/Machine Learning, Natural Language Processing, Software Engineering or equivalent
- Experience working with voice talent recordings and/or other types of speech data
- Experience building text-to-speech models
- Fluent in another language or dialect
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 $198,300 and $298,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best work. Here at Apple, you’ll do more than join something - you’ll add something.
The Voice Production and Modeling team is looking for a manager to lead our Voice Character Development team. Join us and lead the revolution in AI voice creation where we marry craftsmanship, engineering and machine learning to create unique, distinctive voice characters that delight our customers. You’ll work with a diverse team of interaction designers and machine learning engineers to develop the underlying technologies and build out processes that enable character development at scale, including auto and human quality validation, audio generation and modeling experiments. If you're passionate about creating exceptional AI products where automation and human expertise work in harmony, this is the role for you!
Description
This position offers an opportunity to shape the voice landscape of Apple Intelligence features at this critical moment in the AI field. The ideal candidate will combine an intuitive understanding of cutting-edge machine learning capabilities with an eye for when a human touch is required to create something truly exceptional. Delivering products that adhere to responsible AI and safety standards is a key part of the team’s mission and you’ll help to drive and champion this critical work with cross-functional partners.
As a manager, your team's success is your number one priority. You'll be responsible for cultivating a high-performing team that balances technical innovation with creative excellence. This means setting clear vision and strategy, removing obstacles that prevent your team from doing their best work, and fostering an environment where both rigorous engineering and artistic craftsmanship can thrive. You'll guide technical decisions while empowering your team to take ownership, and you'll be the bridge between your team's groundbreaking work and broader organizational goals.
MINIMUM QUALIFICATIONS
- 2+ years experience leading a software or machine-learning team in the speech technology space
- 7+ years in a hands-on machine learning role with demonstrable product impact
- Experience taking responsibility and ownership of features and the product roadmap
- Excellent interpersonal skills and experience working with people from a wide variety of backgrounds (engineers, designers, researchers, etc.)
- Committed to encouraging an open and inclusive work environment
- Demonstrated ability to communicate effectively, collaborate, and build long-term relationships across the organization
PREFERRED QUALIFICATIONS
- Bachelors degree in Computer Science, Artificial Intelligence/Machine Learning, Natural Language Processing, Software Engineering or equivalent
- Experience working with voice talent recordings and/or other types of speech data
- Experience building text-to-speech models
- Fluent in another language or dialect
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 $198,300 and $298,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
How to Get Visa Sponsorship as a Machine Learning Manager
Target companies with established ML infrastructure
Large tech firms and AI-focused startups with existing ML teams are far more likely to sponsor because the business case for the role is already proven internally. Look for employers with prior H-1B LCA filings in machine learning.
Emphasize the degree-to-role connection clearly
Consular officers and USCIS adjudicators scrutinize whether your degree field directly supports the role. A computer science, statistics, or AI degree is the cleanest fit. Document how your coursework and research map to the manager's technical responsibilities.
Distinguish your leadership scope from individual contributor roles
Petitions get stronger when the role description emphasizes team oversight, research direction, and cross-functional decision-making. A generic 'ML engineer' title with added reports is weaker than a role defined by organizational and technical leadership.
Prepare for O-1A if the H-1B lottery doesn't go your way
Senior ML managers with publications, patents, conference speaking history, or industry awards may qualify for O-1A extraordinary ability status, which has no lottery and no annual cap. It's worth assessing eligibility before the next H-1B season.
Understand that prevailing wage is pegged to the senior level
Machine Learning Manager roles typically fall into Level 3 or Level 4 prevailing wage determinations under DOL guidelines. Employers must certify the offered compensation meets that threshold, which filters out underfunded early-stage startups as realistic sponsors.
Use your LCA approval as a negotiating signal
Once your employer files a certified Labor Condition Application, it confirms the role meets specialty occupation and wage standards. That certification is publicly searchable and signals market-rate commitment, giving you a stronger position in offer negotiations.
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Get Access To All JobsFrequently Asked Questions
Is Machine Learning Manager a qualifying specialty occupation for H-1B purposes?
Yes, in the vast majority of cases. The role requires theoretical and applied knowledge in machine learning, statistics, and software systems that directly corresponds to a specific degree field. USCIS has consistently approved H-1B petitions for ML leadership roles, particularly when the job description details both technical oversight and managerial scope, and the petitioner holds a bachelor's degree or higher in computer science, applied mathematics, or a closely related discipline.
Does my degree field need to be an exact match for Machine Learning Manager roles?
Not exact, but close. USCIS looks for a direct relationship between the degree field and the role's duties. Computer science, electrical engineering, applied mathematics, statistics, and AI or data science degrees are all well-established fits. A general business or unrelated humanities degree creates adjudication risk unless you can demonstrate significant coursework or a second degree in a qualifying technical field.
How competitive is H-1B sponsorship for Machine Learning Manager positions compared to other tech roles?
Machine learning roles consistently appear among the highest-volume H-1B filings in the technology sector. DOL disclosure data shows major employers filing hundreds of LCAs annually for ML-related positions. The managerial title can actually improve petition strength because it reinforces specialty occupation requirements and business necessity. The H-1B lottery remains the primary obstacle, not adjudication difficulty.
Can I find Machine Learning Manager roles that offer visa sponsorship on Migrate Mate?
Yes. Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, saving you the time of screening out positions that exclude international candidates. Machine Learning Manager listings on Migrate Mate reflect active openings from employers with a demonstrated history of sponsoring work visas for technical leadership roles.
What happens to my H-1B status if I'm promoted from an individual contributor ML role to a manager role at the same company?
A material change in job duties, title, or work location typically requires your employer to file an amended H-1B petition before the change takes effect. Moving from an individual contributor to a managerial role qualifies as a material change under USCIS guidance. Filing an amendment is your employer's responsibility, but you should confirm it's in process before your new role begins to avoid a gap in authorized status.
What is the prevailing wage requirement for sponsored Machine Learning Manager jobs?
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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