Senior ML Engineer Jobs in USA with Visa Sponsorship
Senior ML Engineer roles rank among the most actively sponsored positions in the U.S. tech industry. Employers regularly file H-1B and O-1 petitions for qualified candidates, and the specialty occupation requirement is straightforward to satisfy with a degree in computer science, statistics, or a related field. 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 Apple Store 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. Here, you’ll do more than join something - you’ll add something.
At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented ML data engineers to realize that mission by expanding the capabilities of Apple products and platforms.
Description
As a member of the team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated ML data engineer with strong technical and interpersonal skills to handle responsibilities including:
- Define data acquisition strategies to align with program goals. Balance cost, scalability, and quality tradeoffs, and adapt the data strategies
- Define data requirements in partner with cross functional teams
- Design and implement tools for monitoring, alerting, and health checking to ensure sustained data and model performance at scale
- Own data operations and ensure data delivery on time with the required quality
- Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
Minimum Qualifications
B.S. in Computer Science, Math, Machine Learning, Robotics, or related fields.
Minimum of 3 years relevant industry experience.
Proficiency in SQL and Python.
Familiarity with modern data platforms and ML ops tooling (Spark, Kubeflow, Weight & Bias).
Experience working with large-scale data pipelines.
Experience building datasets for ML systems.
Experience in data operation, budgets, vendors, or external partnerships.
Preferred Qualifications
M.S. or Ph.D. in related fields.
Experience working with multi-modal foundation models.
Experience leading and mentoring engineering teams.
Familiarity with robotic algorithms.
Familiarity with modern ML approaches.
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.
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 $212,000 and $318,400, 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.
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 Apple Store 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. Here, you’ll do more than join something - you’ll add something.
At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented ML data engineers to realize that mission by expanding the capabilities of Apple products and platforms.
Description
As a member of the team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated ML data engineer with strong technical and interpersonal skills to handle responsibilities including:
- Define data acquisition strategies to align with program goals. Balance cost, scalability, and quality tradeoffs, and adapt the data strategies
- Define data requirements in partner with cross functional teams
- Design and implement tools for monitoring, alerting, and health checking to ensure sustained data and model performance at scale
- Own data operations and ensure data delivery on time with the required quality
- Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
Minimum Qualifications
B.S. in Computer Science, Math, Machine Learning, Robotics, or related fields.
Minimum of 3 years relevant industry experience.
Proficiency in SQL and Python.
Familiarity with modern data platforms and ML ops tooling (Spark, Kubeflow, Weight & Bias).
Experience working with large-scale data pipelines.
Experience building datasets for ML systems.
Experience in data operation, budgets, vendors, or external partnerships.
Preferred Qualifications
M.S. or Ph.D. in related fields.
Experience working with multi-modal foundation models.
Experience leading and mentoring engineering teams.
Familiarity with robotic algorithms.
Familiarity with modern ML approaches.
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.
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 $212,000 and $318,400, 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.
How to Get Visa Sponsorship as a Senior ML Engineer
Target companies with a strong H-1B filing history
Large tech employers and AI-focused startups file H-1B petitions for ML engineers at high rates. Prioritizing companies with consistent sponsorship track records significantly improves your odds of securing both the role and the visa petition.
Lead with production ML experience, not just research
Employers sponsoring H-1B petitions for ML engineers need to justify specialty occupation status. Demonstrating end-to-end model deployment, infrastructure ownership, and cross-functional impact strengthens both your candidacy and the legal case for your petition.
A computer science or quantitative degree matters more here
USCIS scrutinizes specialty occupation claims for ML roles. A bachelor's or advanced degree in computer science, mathematics, statistics, or electrical engineering makes the petition considerably cleaner and reduces the risk of a Request for Evidence.
O-1A is a viable path if you have strong research credentials
Senior ML engineers with published papers, conference presentations, or notable open-source contributions may qualify for the O-1A visa. It bypasses the H-1B lottery entirely and is worth exploring if your profile includes recognized industry or academic achievements.
Negotiate sponsorship terms before accepting an offer
Clarify whether the employer covers H-1B filing fees, legal costs, and premium processing before signing. These terms vary significantly between companies, and raising them after an offer is accepted is considerably harder than addressing them upfront.
Specialization in a high-demand subfield strengthens your position
ML engineers with deep expertise in areas like LLMs, computer vision, or reinforcement learning are in shorter supply than generalists. A clearly defined specialization makes you easier to sponsor and harder for a hiring manager to pass over.
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Get Access To All JobsFrequently Asked Questions
Is Senior ML Engineer a qualifying specialty occupation for the H-1B visa?
Yes, Senior ML Engineer consistently qualifies as a specialty occupation under H-1B requirements. USCIS recognizes that the role normally requires at least a bachelor's degree in computer science, statistics, mathematics, or a closely related field. Roles emphasizing model architecture, training pipelines, and production deployment are well-supported by DOL occupational data, making RFEs on specialty occupation grounds less common than in some other technical fields.
What degree do I need for an employer to sponsor my H-1B as an ML engineer?
A bachelor's degree or higher in computer science, electrical engineering, mathematics, or statistics is the standard requirement. Some employers will accept a degree in physics or a related quantitative field if your coursework and experience are clearly relevant. Advanced degrees, particularly a master's or PhD in ML or AI, strengthen the petition and can make premium processing approval more straightforward. Unrelated degrees paired with extensive experience require more legal documentation.
How competitive is H-1B sponsorship for ML engineers compared to other software roles?
ML engineers are among the most actively sponsored technical roles in the H-1B program. Major tech companies, AI labs, and well-funded startups regularly file petitions for this title. The specialty occupation argument is cleaner than for some generalist software roles because the degree-to-job relationship is specific and well-documented. That said, the H-1B lottery itself remains the primary variable, with a selection rate of roughly 25% in recent cycles.
Can I find Senior ML Engineer jobs that explicitly offer visa sponsorship?
Yes. Migrate Mate is built specifically for this, filtering roles by sponsorship willingness so you're not applying to positions that won't consider candidates who need a visa. ML engineering is one of the most represented categories on the platform because demand consistently outpaces the available domestic talent pool, which keeps employer willingness to sponsor unusually high relative to other fields.
Does having a PhD improve my chances of visa sponsorship as an ML engineer?
A PhD strengthens your petition in two practical ways. First, it eliminates any specialty occupation ambiguity, since the degree-to-role alignment is unambiguous. Second, PhD holders are cap-exempt if hired by a qualifying institution and may access the 20,000 advanced-degree exemption slots in the H-1B lottery, improving selection odds. For O-1A purposes, a PhD combined with publications or conference presentations can be decisive evidence of extraordinary ability.
What is the prevailing wage requirement for sponsored Senior ML 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.
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