AI Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for AI engineer visa sponsorship, anchored by Microsoft and Amazon in the Seattle area, with growing demand from Meta, Google, and a wave of AI-focused startups in Bellevue and Redmond. The state's concentration of established tech employers makes it one of the more active markets for H-1B visa sponsorship in this field.
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Get Access To All JobsINTRODUCTION
Meta's Reality Labs (RL) is driving innovation in Augmented and Virtual Reality products. Our XR Tech organization develops machine perception technologies across Quest, Meta Glasses, and Family of Apps—spanning Avatars, AR/VR calling, AR Commerce, and more. In this role, you will research and apply computer vision and machine learning techniques for surface inputs and natural interactions, tackling challenges in hand tracking, micro-gestures, eye tracking, 3D reconstruction, and real-time image processing. You'll collaborate with researchers in Reality Labs Research (RLR) to translate discoveries into production-ready solutions that impact billions of people.
AI Research Scientist - Surface Inputs AR/VR Responsibilities:
- Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
- Design and execute large-scale experiments with vision models and datasets, defining evaluation protocols and driving research direction
- Partner with cross-functional teams to ship ML models end-to-end, from prototype to production
- Develop prototypes for future VR/AR/MR experiences and integrate robust solutions into products
- Contribute to publications at top-tier venues such as CVPR, ICCV, ECCV, and NeurIPS
- Define and scope projects for other engineers, providing technical direction and success criteria
Minimum Qualifications:
- 7+ years of industry experience in machine learning, computer vision, or related fields
- Experience shipping ML models to production, including the full ML production cycle from development to deployment
- Prototyping and engineering experience in at least one specialization: SLAM, State Estimation, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, or scene understanding
- Experience writing production-quality code in Python and deep learning frameworks such as PyTorch
Preferred Qualifications:
- Experience productizing and deploying ML models on edge devices
- Publication track record at conferences such as CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, or SIGGRAPH
- Experience with real-time SLAM, 3D reconstruction, sensor fusion, object/body tracking, or depth estimation
- PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics, or related field
- Experience developing CV/ML systems for edge devices (mobile phones, AR/VR headsets, custom hardware)
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta's Reality Labs (RL) is driving innovation in Augmented and Virtual Reality products. Our XR Tech organization develops machine perception technologies across Quest, Meta Glasses, and Family of Apps—spanning Avatars, AR/VR calling, AR Commerce, and more. In this role, you will research and apply computer vision and machine learning techniques for surface inputs and natural interactions, tackling challenges in hand tracking, micro-gestures, eye tracking, 3D reconstruction, and real-time image processing. You'll collaborate with researchers in Reality Labs Research (RLR) to translate discoveries into production-ready solutions that impact billions of people.
AI Research Scientist - Surface Inputs AR/VR Responsibilities:
- Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
- Design and execute large-scale experiments with vision models and datasets, defining evaluation protocols and driving research direction
- Partner with cross-functional teams to ship ML models end-to-end, from prototype to production
- Develop prototypes for future VR/AR/MR experiences and integrate robust solutions into products
- Contribute to publications at top-tier venues such as CVPR, ICCV, ECCV, and NeurIPS
- Define and scope projects for other engineers, providing technical direction and success criteria
Minimum Qualifications:
- 7+ years of industry experience in machine learning, computer vision, or related fields
- Experience shipping ML models to production, including the full ML production cycle from development to deployment
- Prototyping and engineering experience in at least one specialization: SLAM, State Estimation, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, or scene understanding
- Experience writing production-quality code in Python and deep learning frameworks such as PyTorch
Preferred Qualifications:
- Experience productizing and deploying ML models on edge devices
- Publication track record at conferences such as CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, or SIGGRAPH
- Experience with real-time SLAM, 3D reconstruction, sensor fusion, object/body tracking, or depth estimation
- PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics, or related field
- Experience developing CV/ML systems for edge devices (mobile phones, AR/VR headsets, custom hardware)
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
AI Engineer Job Roles in Washington
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Search AI Engineer Jobs in WashingtonAI Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Washington?
Microsoft, Amazon, and Google are among the most active H-1B sponsors for AI engineer roles in Washington, consistently filing large numbers of petitions through the DOL's LCA disclosure data. Meta maintains a significant presence in the Seattle area and sponsors regularly. Beyond the large tech companies, AI-focused startups in Bellevue and Redmond have also entered the sponsorship market, though sponsorship practices vary by company size and hiring cycle.
Which visa types are most common for AI engineer roles in Washington?
The H-1B is by far the most common visa for AI engineers in Washington, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Applicants with extraordinary ability or national-level recognition may pursue the O-1A. Australian citizens have access to the E-3 visa, which functions similarly to the H-1B but without the lottery. Canadian and Mexican nationals may qualify under the TN visa in certain engineering categories.
How to find ai engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify AI engineer openings in Washington where employers are actively willing to sponsor. Rather than sifting through general job postings, you can search directly for roles that match your visa situation. Washington's tech corridor, especially the Seattle-to-Redmond stretch, generates a consistent volume of AI engineering postings with sponsorship attached.
Which cities in Washington have the most AI engineer sponsorship jobs?
Seattle accounts for the largest share of AI engineer sponsorship activity in Washington, driven by Amazon's headquarters and major offices from Google, Meta, and other large tech employers. Redmond is Microsoft's global headquarters and a significant source of AI engineering roles. Bellevue has grown as a secondary tech hub with a notable startup presence. Outside the Puget Sound region, AI engineering sponsorship opportunities are considerably more limited.
Are there any state-specific considerations for AI engineers seeking sponsorship in Washington?
Washington has no state income tax, which affects how prevailing wage compliance is calculated in context, though DOL prevailing wage requirements apply uniformly at the federal level. The University of Washington's Paul G. Allen School of Computer Science & Engineering produces a strong local pipeline of AI and ML talent, and many UW graduates on OPT or STEM OPT transition into sponsored roles with Washington-based employers. Competition for H-1B sponsorship roles in the Seattle metro is high given the concentration of qualified applicants in the region.
What is the prevailing wage for sponsored ai 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.