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 JobsAre you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models.
Description
As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills.
Responsibilities
- Analyze search retrieval, ranking and relevance requirements, issues and opportunities
- Design, train, and deploy machine learning models to improve search relevance and ranking
- Define evaluation metrics and benchmarks for search quality
- Collaborate with multi-functional teams including: product, design, and data engineering
- Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases
Minimum Qualifications
Bachelor’s in Computer Science, Machine Learning, or a related field
7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Strong programming skills in C/C++ or Python, and experience with ML frameworks
Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
Excellent communication and collaboration skills
Preferred Qualifications
Advance degree in Computer Science, Machine Learning, or a related field
10+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
Experience working with transformer-based models (e.g., BERT, T5) in a search context
Prior industry experience on large scale search systems
Ability to quickly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex problems
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 $184,700 and $324,800, 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.
Are you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models.
Description
As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills.
Responsibilities
- Analyze search retrieval, ranking and relevance requirements, issues and opportunities
- Design, train, and deploy machine learning models to improve search relevance and ranking
- Define evaluation metrics and benchmarks for search quality
- Collaborate with multi-functional teams including: product, design, and data engineering
- Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases
Minimum Qualifications
Bachelor’s in Computer Science, Machine Learning, or a related field
7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Strong programming skills in C/C++ or Python, and experience with ML frameworks
Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
Excellent communication and collaboration skills
Preferred Qualifications
Advance degree in Computer Science, Machine Learning, or a related field
10+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
Experience working with transformer-based models (e.g., BERT, T5) in a search context
Prior industry experience on large scale search systems
Ability to quickly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex problems
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 $184,700 and $324,800, 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 127+ 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.