Sr Staff Machine Learning Engineer Jobs in USA with Visa Sponsorship
Sr Staff Machine Learning Engineers rank among the most visa-sponsored roles in U.S. tech. Employers filing H-1B visa petitions for this level consistently cite Computer Science or related engineering degrees, and many qualify for O-1A or EB-1 expedited pathways given the seniority. For detailed occupation requirements, see the O*NET profile.
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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 18,447+ Sr Staff Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Sr Staff Machine Learning Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Sr Staff Machine Learning Engineer
Target companies with established ML infrastructure
Large tech firms and AI-first startups with dedicated ML platforms teams sponsor this role most reliably. They have immigration counsel on retainer and treat H-1B sponsorship as a standard hiring cost, not an exception requiring executive approval.
Frame your degree field precisely on applications
H-1B specialty occupation requires a degree in a directly related field. Computer Science, Electrical Engineering, and Statistics are strong matches. A degree in a loosely related field increases RFE risk, so frame your coursework and transcripts carefully with your employer's counsel.
Highlight publications, patents, or model deployments at scale
Staff and Sr Staff roles sit at or near the principal level. Evidence of industry-recognized contributions, open-source projects, or peer-reviewed work strengthens both your H-1B petition and opens the door to O-1A or EB-1A self-petition options.
Ask about the company's I-140 filing timeline upfront
At this seniority, many employers will file an I-140 immigrant petition concurrently or shortly after H-1B approval. Knowing whether EB-2 or EB-3 sponsorship is on offer matters significantly for long-term planning, especially for Indian or Chinese nationals facing backlogs.
Understand cap-exempt employer options if you miss the H-1B lottery
Universities, nonprofit research labs, and government-affiliated institutions are H-1B cap-exempt, meaning they can file year-round without lottery risk. Senior ML roles exist at places like national labs and research universities, and sponsorship there sidesteps the annual cap entirely.
Use Migrate Mate to filter roles by verified sponsorship history
Not every job posting that mentions visa sponsorship follows through at the offer stage. Migrate Mate surfaces employers with documented sponsorship activity for ML engineering roles, reducing time spent on applications that stall once immigration costs enter the conversation.
Frequently Asked Questions
Do employers typically sponsor H-1B visas for Sr Staff Machine Learning Engineer roles?
Yes, sponsorship rates for this title are high relative to the broader tech job market. Sr Staff ML Engineers command enough strategic value that most large tech employers absorb H-1B visa costs without hesitation. You're most likely to encounter resistance at early-stage startups without dedicated HR or legal infrastructure for immigration filings. Migrate Mate lets you filter specifically for employers with verified sponsorship history at this seniority level.
What degree qualifies for H-1B sponsorship as a Machine Learning Engineer?
A bachelor's degree or higher in Computer Science, Electrical Engineering, Mathematics, or Statistics is the standard qualifying credential for this role under H-1B specialty occupation rules. USCIS looks for a direct relationship between the degree field and the job duties. A general engineering or business degree without strong quantitative coursework can trigger a Request for Evidence. Relevant graduate degrees, especially in ML or AI, significantly strengthen the petition.
Can a Sr Staff ML Engineer qualify for an O-1A visa instead of H-1B?
Potentially yes, and it's worth evaluating seriously at this level. The O-1A requires evidence of extraordinary ability, typically demonstrated through peer-reviewed publications, conference presentations, patents, significant open-source contributions, or a high salary relative to peers. Sr Staff engineers who have published research, led breakthrough model deployments, or received industry awards often meet multiple O-1A criteria. Unlike H-1B, the O-1A has no lottery and can be filed year-round.
How does Indian or Chinese nationality affect sponsorship timelines for this role?
H-1B approval and work authorization are unaffected by nationality, but employer-sponsored green card timelines are heavily impacted. Indian and Chinese nationals face employment-based visa backlogs measured in decades for EB-2 and EB-3 categories. At the Sr Staff level, it's worth asking employers whether they support EB-1A or EB-1B (Outstanding Researcher) pathways, which currently have no backlog for any nationality and offer a substantially faster route to permanent residence.
What is the H-1B approval rate for Machine Learning Engineer petitions?
USCIS doesn't publish approval rates broken down to this specific title, but ML engineering petitions filed under Computer Occupations SOC codes consistently see approval rates above 90% when the petition is well-documented and filed by experienced immigration counsel. The main risk factor is a Request for Evidence challenging specialty occupation status, which is more common for roles where the degree requirement isn't explicitly stated in the job description. Clear job duty language in the LCA and offer letter reduces this risk substantially.
What is the prevailing wage requirement for sponsored Sr Staff Machine Learning 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.