Senior ML Engineer Visa Sponsorship Jobs in Washington
Washington is one of the most active states for senior ML engineer visa sponsorship, driven by major tech employers in Seattle and Redmond including Microsoft, Amazon, and Google. The Eastside corridor and Seattle's South Lake Union neighborhood concentrate hiring, with additional opportunities at aerospace and cloud infrastructure companies across the Puget Sound region.
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Get Access To All JobsINTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists?
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
As part of Apple’s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation.
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
DESCRIPTION
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems.
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem.
You will work with a multidisciplinary team to actively participate in Apple Intelligence’s data-model co-design and co-develop practice.
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple.
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models.
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.
Responsibilities
- Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.
- Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.
- Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.
- Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.
- Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.
- Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.
MINIMUM QUALIFICATIONS
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
Deep understanding in multi-modal foundation models.
Staying on top of emerging trends in generative AI and multi-modal LLM.
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
PREFERRED QUALIFICATIONS
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc).
Strong problem-solving and communication skills.
Experience of multimodal large language model or image/video generation model training is a plus.
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.
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 $171,600 and $302,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
INTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists?
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
As part of Apple’s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation.
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
DESCRIPTION
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems.
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem.
You will work with a multidisciplinary team to actively participate in Apple Intelligence’s data-model co-design and co-develop practice.
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple.
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models.
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.
Responsibilities
- Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.
- Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.
- Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.
- Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.
- Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.
- Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.
MINIMUM QUALIFICATIONS
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
Deep understanding in multi-modal foundation models.
Staying on top of emerging trends in generative AI and multi-modal LLM.
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
PREFERRED QUALIFICATIONS
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc).
Strong problem-solving and communication skills.
Experience of multimodal large language model or image/video generation model training is a plus.
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.
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 $171,600 and $302,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Senior ML Engineer Job Roles in Washington
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Search Senior ML Engineer Jobs in WashingtonSenior ML Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for senior ML engineers in Washington?
Microsoft and Amazon are the largest sponsors of senior ML engineer roles in Washington, with significant hiring in Redmond and Seattle respectively. Google, Meta, Apple, and Salesforce maintain offices in the region and regularly file H-1B petitions for senior ML talent. Expedia, T-Mobile, and Boeing also sponsor ML engineers, alongside a growing number of AI-focused startups in the Seattle tech ecosystem.
Which visa types are most common for senior ML engineer roles in Washington?
The H-1B is by far the most common visa for senior ML engineers in Washington, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. L-1B visas are used for intracompany transfers, particularly at large multinationals like Microsoft and Amazon. Candidates with extraordinary ability may qualify for the O-1A, which has no annual cap.
Which cities in Washington have the most senior ML engineer sponsorship jobs?
Seattle and Redmond together account for the vast majority of senior ML engineer sponsorship jobs in Washington. Seattle's South Lake Union and Capitol Hill neighborhoods host Amazon, Meta, and numerous startups, while Redmond is anchored by Microsoft's global headquarters. Bellevue and Kirkland on the Eastside have grown significantly, with Google and several mid-sized tech firms establishing substantial engineering presences there.
How to find senior ml engineer visa sponsorship jobs in Washington?
Migrate Mate filters senior ML engineer jobs in Washington specifically by visa sponsorship availability, saving you from sifting through listings where sponsorship is unclear. You can search by role and state to surface employers actively hiring sponsored candidates in Seattle, Redmond, and Bellevue. Because ML engineering is highly competitive in Washington, filtering for confirmed sponsorship roles helps you focus your applications on realistic opportunities.
Are there any Washington-specific considerations for senior ML engineers seeking visa sponsorship?
Washington has no state income tax, which affects prevailing wage calculations and overall compensation benchmarking used in H-1B Labor Condition Applications. The University of Washington and Washington State University produce significant ML research talent, creating a competitive local pipeline that influences employer sponsorship decisions. Washington's concentration of large tech employers also means many companies have established immigration programs and legal teams experienced with senior engineering visa filings.
What is the prevailing wage for sponsored senior ml engineer jobs in Washington?
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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