ML Software Engineer Jobs in USA with Visa Sponsorship
ML Software Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for qualified candidates, and specialty occupation approval rates for machine learning roles are high given the clear degree-to-role alignment. For detailed occupation requirements, see the O*NET profile.
Find ML Software Engineer JobsOverview
Showing 5 of 18,385+ ML Software Engineer jobs
See all 18,385+ ML Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer roles.
Get Access To All JobsOur team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices.
Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team.
Come join us and build the future!
Description
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization.
Responsibilities
In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
- Design, implement, and ship new ML-powered features on watchOS.
- Integrate and deploy ML models on-device, building Swift or Objective-C frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
- Profile and optimize code for the performance and power constraints unique to Apple Watch.
- Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior.
- Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
- Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features.
Minimum Qualifications
- M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proficiency with Swift or Objective-C and developing on Apple platforms.
- Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
- Excellent communication and collaboration skills, with ability to work independently or in small teams.
Preferred Qualifications
- Experience optimizing and profiling applications for performance and power consumption.
- Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices.
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 $142,300 and $263,300, 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.
Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices.
Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team.
Come join us and build the future!
Description
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization.
Responsibilities
In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
- Design, implement, and ship new ML-powered features on watchOS.
- Integrate and deploy ML models on-device, building Swift or Objective-C frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
- Profile and optimize code for the performance and power constraints unique to Apple Watch.
- Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior.
- Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
- Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features.
Minimum Qualifications
- M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proficiency with Swift or Objective-C and developing on Apple platforms.
- Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
- Excellent communication and collaboration skills, with ability to work independently or in small teams.
Preferred Qualifications
- Experience optimizing and profiling applications for performance and power consumption.
- Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices.
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 $142,300 and $263,300, 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.
See all 18,385+ ML Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a ML Software Engineer
Lead with your tech stack, not your job title
Hiring managers sponsoring ML engineers want to see PyTorch, TensorFlow, or JAX upfront. Listing frameworks before your title signals technical depth immediately and separates you from generalist software engineers competing for the same roles.
Target companies with an active H-1B filing history
Sponsorship willingness varies significantly by employer. Focus on companies that have consistently filed H-1B petitions for ML roles in prior years. This history is public record and tells you more than any recruiter's vague assurance about sponsorship.
Frame your degree as directly tied to the role
USCIS scrutinizes specialty occupation claims. If your degree is in computer science, statistics, or a related quantitative field, make that connection explicit in applications. Ambiguous degree-to-role alignment is the most common reason ML petitions face additional review.
Highlight published research or patents if you have them
Publications and patents strengthen both H-1B specialty occupation arguments and O-1A extraordinary ability petitions. Even a single co-authored paper on a relevant ML topic adds meaningful credibility to a sponsorship package for this role.
Apply to roles that specify a master's or PhD requirement
Postings requiring an advanced degree in machine learning or AI signal stronger sponsorship intent and clearer specialty occupation documentation. These roles also tend to move faster through USCIS review because the degree-to-role connection is harder to dispute.
Prepare for a longer hiring timeline when sponsorship is involved
H-1B cap-subject petitions must align with the April lottery window. If you're interviewing outside that cycle, ask employers about cap-exempt options, O-1 alternatives, or transfer from an existing valid status to avoid gaps in work authorization.
Frequently Asked Questions
Do ML Software Engineer roles qualify as H-1B specialty occupations?
Yes. Machine learning engineering consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in a specific field such as computer science, mathematics, or statistics. USCIS has approved H-1B visa petitions for ML engineers at high rates when the job description clearly requires theoretical knowledge applied to complex model development, not just general software development tasks.
What degree do I need for an employer to sponsor my H-1B as an ML Software Engineer?
A bachelor's degree or higher in computer science, electrical engineering, mathematics, statistics, or a closely related quantitative field is the standard requirement. A general business or unrelated degree makes sponsorship significantly harder because USCIS will question whether the role genuinely requires that specific academic background. Some employers also accept foreign three-year degrees if accompanied by relevant graduate study or substantial work experience.
Are ML Software Engineer roles eligible for the O-1A visa as an alternative to H-1B?
Yes, and it's a strong alternative for candidates with a research background. The O-1A requires demonstrating extraordinary ability through criteria like published papers, conference presentations, high compensation relative to peers, or judging others' work. ML engineers with NeurIPS, ICML, or ICLR publications, or those who have contributed to widely adopted open-source models, often meet multiple criteria without needing the H-1B lottery.
How competitive is H-1B sponsorship for ML roles compared to other software engineering positions?
ML Software Engineer roles attract sponsorship from a wide range of employers, including large tech companies and well-funded AI startups, which increases your options relative to more generalist engineering titles. However, because demand for these roles is high, cap-subject H-1B slots fill quickly. Candidates who browse ML-specific openings on Migrate Mate can filter for employers with confirmed sponsorship history, which meaningfully improves selection odds.
Can I switch employers on an H-1B as an ML Software Engineer?
Yes. H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, provided you've been in valid H-1B status. The new employer must file a fresh I-129 petition with a new Labor Condition Application reflecting the updated role and location. For ML roles, the specialty occupation argument typically transfers cleanly as long as the new position has comparable technical requirements.
What is the prevailing wage requirement for sponsored ML Software Engineer 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.