ML Engineer Visa Sponsorship Jobs in Washington
Washington is one of the most active states for ML engineer visa sponsorship, with major employers like Microsoft, Amazon, Google, and Meta operating large AI and machine learning teams in Seattle and Redmond. The concentration of tech headquarters and research labs here creates consistent demand for sponsored ML talent across applied research, recommendation systems, and large language model development.
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Get Access To All JobsINTRODUCTION
We're building the next generation of AI evaluation systems - and we're looking for a hands-on engineer who can bridge ML, software, and product to make AI systems more measurable, testable, and trustworthy.
We’re part of the AI/ML Evaluation organization, seeking a Senior or Staff-level Applied ML Engineer with strong software engineering skills and a solid understanding of machine learning. In this hands-on role, you’ll help design and build intelligent systems that simulate complex interactions (including agentic workflows powered by LLMs), develop tools for extracting structured insights, and create robust evaluation datasets.
You’ll also contribute to building scalable platforms for simulation and behavior analysis. This role sits at the intersection of ML, engineering, and product - ideal for someone passionate about bringing clarity and rigor to real-world AI performance.
DESCRIPTION
We’re looking for a pragmatic engineer who thrives at the intersection of machine learning and software development - capable of building robust, scalable systems that support evaluation and development of advanced AI capabilities, including large language models and agentic behaviors.
A successful candidate is comfortable navigating ML, systems, and product domains.
You bring strong software engineering fundamentals, experience building and maintaining end-to-end pipelines, and a practical understanding of how to evaluate AI systems in real-world contexts. You’re curious about how LLMs behave in interactive or agentic settings, thoughtful about evaluation design, and eager to build tools that improve visibility and trust in AI. Above all, you enjoy collaborating across disciplines and bringing structure to complex, evolving problems.
Responsibilities
- Design and implement systems that simulate user-like interactions and workflows
- Build tools and infrastructure to generate, manage, and analyze evaluation data
- Develop scalable pipelines to extract structured insights from simulation outputs
- Collaborate with scientists and engineers to instrument and assess model performance
- Engineer reusable, testable components for experimentation and evaluation workflows
- Help define and operationalize success metrics aligned with product and research goals
MINIMUM QUALIFICATIONS
- 8+ years of experience in software engineering, ML engineering, or applied ML roles
- Proficiency in Python or another modern programming language (e.g., Java, Go, Swift)
- Experience building and maintaining production-grade systems
- Solid understanding of machine learning concepts, especially LLMs and their applications
- Excellent communication and collaboration skills with cross-functional partners
PREFERRED QUALIFICATIONS
- Experience working on AI evaluation systems, LLM-based simulations, or agentic AI frameworks
- Background in building tools for data analysis, model evaluation, or synthetic data generation
- Familiarity with metrics instrumentation and observability in ML systems
- Experience designing pipelines for AI/ML workflows
- Exposure to applied research, generative models, or real-time systems
- Understanding of how model quality connects to product outcomes and user experience
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. 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.
INTRODUCTION
We're building the next generation of AI evaluation systems - and we're looking for a hands-on engineer who can bridge ML, software, and product to make AI systems more measurable, testable, and trustworthy.
We’re part of the AI/ML Evaluation organization, seeking a Senior or Staff-level Applied ML Engineer with strong software engineering skills and a solid understanding of machine learning. In this hands-on role, you’ll help design and build intelligent systems that simulate complex interactions (including agentic workflows powered by LLMs), develop tools for extracting structured insights, and create robust evaluation datasets.
You’ll also contribute to building scalable platforms for simulation and behavior analysis. This role sits at the intersection of ML, engineering, and product - ideal for someone passionate about bringing clarity and rigor to real-world AI performance.
DESCRIPTION
We’re looking for a pragmatic engineer who thrives at the intersection of machine learning and software development - capable of building robust, scalable systems that support evaluation and development of advanced AI capabilities, including large language models and agentic behaviors.
A successful candidate is comfortable navigating ML, systems, and product domains.
You bring strong software engineering fundamentals, experience building and maintaining end-to-end pipelines, and a practical understanding of how to evaluate AI systems in real-world contexts. You’re curious about how LLMs behave in interactive or agentic settings, thoughtful about evaluation design, and eager to build tools that improve visibility and trust in AI. Above all, you enjoy collaborating across disciplines and bringing structure to complex, evolving problems.
Responsibilities
- Design and implement systems that simulate user-like interactions and workflows
- Build tools and infrastructure to generate, manage, and analyze evaluation data
- Develop scalable pipelines to extract structured insights from simulation outputs
- Collaborate with scientists and engineers to instrument and assess model performance
- Engineer reusable, testable components for experimentation and evaluation workflows
- Help define and operationalize success metrics aligned with product and research goals
MINIMUM QUALIFICATIONS
- 8+ years of experience in software engineering, ML engineering, or applied ML roles
- Proficiency in Python or another modern programming language (e.g., Java, Go, Swift)
- Experience building and maintaining production-grade systems
- Solid understanding of machine learning concepts, especially LLMs and their applications
- Excellent communication and collaboration skills with cross-functional partners
PREFERRED QUALIFICATIONS
- Experience working on AI evaluation systems, LLM-based simulations, or agentic AI frameworks
- Background in building tools for data analysis, model evaluation, or synthetic data generation
- Familiarity with metrics instrumentation and observability in ML systems
- Experience designing pipelines for AI/ML workflows
- Exposure to applied research, generative models, or real-time systems
- Understanding of how model quality connects to product outcomes and user experience
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. 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.
ML Engineer Job Roles in Washington
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Search ML Engineer Jobs in WashingtonML Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Washington?
Washington's largest visa sponsors for ML engineers include Microsoft, Amazon, Google, Meta, Apple, Tableau, and Zillow, all of whom have significant engineering presence in the Seattle and Redmond area. Mid-sized AI-focused companies like Appen, Icertis, and Convoy also regularly sponsor. FAANG-scale employers tend to have established immigration teams, making the sponsorship process more structured than at smaller firms.
Which visa types are most common for ML engineer roles in Washington?
The H-1B visa is by far the most common visa for ML engineers in Washington, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some candidates also enter on OPT or STEM OPT extensions before transitioning to H-1B sponsorship. L-1B visas are an option for ML engineers transferring within a multinational company with an existing Washington office.
How to find ml engineer visa sponsorship jobs in Washington?
Migrate Mate filters ML engineer jobs in Washington specifically by visa sponsorship willingness, saving you from sorting through roles that won't support international candidates. Washington has a high density of AI teams, so the volume of sponsoring employers on Migrate Mate reflects the state's tech concentration. Filtering by city lets you focus on Seattle, Redmond, or Bellevue based on where you want to live and work.
Which cities in Washington have the most ML engineer sponsorship jobs?
Seattle and Redmond account for the vast majority of ML engineer sponsorship jobs in Washington. Seattle hosts Amazon's HQ and Google and Meta engineering offices, while Redmond is home to Microsoft's global headquarters including its AI research division. Bellevue has grown significantly as a secondary tech hub, with several companies relocating or expanding teams there. Outside the greater Seattle metro, ML sponsorship opportunities are considerably more limited.
Are there state-specific factors ML engineers should know about Washington sponsorship jobs?
Washington has no state income tax, which affects how employers structure total compensation packages. The Seattle metro is a designated H-1B-dependent employer hub, meaning several large tech companies there file high volumes of petitions annually. University pipelines from the University of Washington's Paul G. Allen School of Computer Science and Engineering supply strong local talent, but employer demand routinely outpaces that supply, keeping sponsorship openings active across experience levels.
What is the prevailing wage for sponsored 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.