Machine Learning Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for machine learning engineer visa sponsorship, driven by Microsoft, Amazon, and Google's major presence in the Seattle metro area. Bellevue, Redmond, and Seattle collectively host some of the largest ML engineering teams in the country, with Puget Sound's tech corridor offering consistent sponsorship activity across cloud, search, and AI infrastructure roles.
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Get Access To All JobsWho we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions.
- Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding
- Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments
- Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions
- Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions
- Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment
- Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices
- Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives
- Mentor junior team members, providing technical guidance and fostering professional growth
- Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning
What we're looking for
- PhD in Computer Science, Engineering, or a related field, or equivalent work experience
- 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
- Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile)
- Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
- Proven experience in building and maintaining data pipelines (e.g., Airflow)
- Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
- Excellent communication skills, capable of presenting complex technical information clearly
While not required, these are a plus:
- Experience with C++
- Experience in high-growth, innovative environments
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions.
- Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding
- Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments
- Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions
- Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions
- Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment
- Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices
- Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives
- Mentor junior team members, providing technical guidance and fostering professional growth
- Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning
What we're looking for
- PhD in Computer Science, Engineering, or a related field, or equivalent work experience
- 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
- Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile)
- Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
- Proven experience in building and maintaining data pipelines (e.g., Airflow)
- Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
- Excellent communication skills, capable of presenting complex technical information clearly
While not required, these are a plus:
- Experience with C++
- Experience in high-growth, innovative environments
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Machine Learning Engineer Job Roles in Washington
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Search Machine Learning Engineer Jobs in WashingtonMachine Learning Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Washington?
Microsoft in Redmond, Amazon in Seattle, and Google in Kirkland are among the most active sponsors for machine learning engineers in Washington. Apple, Meta, and Expedia also maintain significant ML teams in the greater Seattle area. Beyond the largest employers, a number of mid-size AI and cloud infrastructure companies in the Puget Sound region have established sponsorship track records for specialized ML roles.
Which visa types are most common for machine learning engineer roles in Washington?
The H-1B visa is the most common visa for machine learning engineers in Washington, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, statistics, or a related field. Candidates with an approved I-140 may also work under H-1B extensions beyond the six-year cap. Australians may qualify for the E-3 visa, and Canadians and Mexicans may qualify under TN visa status in applicable engineering categories.
Which cities in Washington have the most machine learning engineer sponsorship jobs?
Seattle and Redmond account for the largest share of machine learning engineer sponsorship jobs in Washington. Bellevue and Kirkland also see strong demand, particularly from Amazon's and Google's satellite offices. Smaller but growing activity exists in Bothell and Issaquah, where biotech and defense technology companies have begun expanding their applied ML teams. Most open sponsored roles are concentrated within the Seattle metropolitan area.
How to find machine learning engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify machine learning engineer roles in Washington without sifting through postings from employers who do not sponsor. You can search by state and role type to surface positions from companies actively hiring internationally. Migrate Mate focuses exclusively on sponsored roles, which saves significant time compared to scanning general job boards where sponsorship status is rarely stated upfront.
Are there state-specific factors that affect machine learning engineer sponsorship in Washington?
Washington has no state income tax, which affects prevailing wage comparisons since federal wage benchmarks are set against local cost-of-living data for the Seattle-Bellevue-Tacoma metro area. The University of Washington in Seattle produces a large pipeline of ML talent that major employers are already set up to sponsor. Washington's concentration of large tech employers also means many companies have established in-house immigration teams, which can simplify and accelerate the sponsorship process compared to employers doing it for the first time.
What is the prevailing wage for sponsored machine learning 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.