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 visa 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 JobsINTRODUCTION
Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role focuses on leading a team working on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. This team is also responsible for producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.
BASIC QUALIFICATIONS
- Proven technical leadership with 5+ years of team management or leadership experience
- Demonstrated expertise in ML production deployment lifecycle, datasets, identifying data needs, and working on creative solutions, scaling and expanding data coverage through human and synthetic generation methods.
- Provide technical direction and expertise to team-wide initiatives in safety auto-grading.
- Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations.
- Work with highly-sensitive content with exposure to offensive and controversial content.
PREFERRED QUALIFICATIONS
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
- Experience working on Responsible AI and AI Safety
- Strong organizational and operational skills working with large, multi-functional, and diverse teams.
- Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
MINIMUM QUALIFICATIONS
- MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.
- Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
- Strong engineering skills and experience in writing production-quality code in Python.
- Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.
- Experience working with noisy, crowd-based data labels and human evaluations.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
INTRODUCTION
Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role focuses on leading a team working on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. This team is also responsible for producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.
BASIC QUALIFICATIONS
- Proven technical leadership with 5+ years of team management or leadership experience
- Demonstrated expertise in ML production deployment lifecycle, datasets, identifying data needs, and working on creative solutions, scaling and expanding data coverage through human and synthetic generation methods.
- Provide technical direction and expertise to team-wide initiatives in safety auto-grading.
- Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations.
- Work with highly-sensitive content with exposure to offensive and controversial content.
PREFERRED QUALIFICATIONS
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
- Experience working on Responsible AI and AI Safety
- Strong organizational and operational skills working with large, multi-functional, and diverse teams.
- Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
MINIMUM QUALIFICATIONS
- MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.
- Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
- Strong engineering skills and experience in writing production-quality code in Python.
- Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.
- Experience working with noisy, crowd-based data labels and human evaluations.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
See all 311+ Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager roles.
Get Access To All JobsTips for Finding 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.
Frequently 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 visa 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.