AI ML Engineering Visa Sponsorship Jobs in Oregon
Oregon's AI/ML engineering hiring is anchored in Portland, where companies like Intel, Nike, and a growing cluster of tech firms and startups actively recruit machine learning talent. The state's proximity to Seattle's tech corridor and strong university pipelines from Oregon State and University of Oregon add to its appeal for international engineers seeking visa sponsorship.
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Get Access To All JobsJob Title: Data Scientist
PURPOSE
The Data Scientist will develop key data science products, methods, and models across the full analytics lifecycle: from defining the business & data understanding to data preparation, modeling, evaluation and deployment.
KEY RESPONSIBILITIES
Data Science
- Lead the development of data science methods, models, and products in support of North America stakeholders.
- Enhance existing data science methods, models, and products.
- Continuously improve our methodologies and challenge the status quo, raising the standards for faster delivery.
- Support improving and automating the data science platform and our machine learning pipeline to facilitate our data science activities and service use cases.
Data Science Network and Storytelling
- Develop and nurture a data science network, both within and outside of adidas, to ensure that best practices and innovations are disseminated across the company.
- Support presenting and promoting results and insights to adidas colleagues at all levels.
Stakeholder Management
- Manage relationships with key stakeholders, ensuring their views and requirements are captured.
- Act as the ambassador for your products, showcasing the key functionalities, driving adoption and assuring operational excellence together with IT peers.
KEY RELATIONSHIPS
- Global Data & Analytics (e.g., Data Assets, Data Platforms, Data Governance, Market Teams)
- Global IT
- Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale / Retail)
- HR (Senior) Management
- Digital
REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS
Education & Professional Experience
- Bachelor or Master’s degree in Data Science, Mathematics, Statistics, or related technical discipline.
- At least 5-7 years work experience, preferably in a data science or analytics environment.
- Will accept any suitable combination of education, training or equivalent relevant job experience.
- Proven track record of working with senior stakeholders.
- Proficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems).
- Proficiency in Python and at least three of the standard data science programming frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).
- Familiarity with modern cloud compute platforms (e.g., Databricks, Snowflake).
- Solid understanding of relational databases and NoSQL databases.
- Proficiency in SQL.
- Solid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation.
- Concise written and oral communication skills (English).
- Comfortable presenting complex topics to stakeholders at various organizational levels.
- Proven team player that can collaborate across functions and organizations.
- Ability to develop influential and collaborative relationships.
- High resilience and solution-oriented attitude.
adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.
adidas offers robust and progressive medical, including HSA (Health Savings Account) with employer funding or FSA (Flexible Spending Account) options, dental, vision, prescription drug coverage, adoption, with surrogate and fertility support, short and long-term disability, and basic life and AD&D insurance. Employees are able to enroll in adidas’ 401k plan and Stock Purchase Plan with employer match. Full-time employees are eligible for education assistance and generous Leave policies including 14 weeks of paid parental leave.
Employees are eligible to earn an annual bonus based on company performance. Employees accrue prorated flexible time off in the amount .4388 hours per day that increases with years of service, twelve paid holidays throughout the calendar year and Service Time Off during milestone years.
At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Portland, OR.
Though our teammates hail from all corners of the world, our working language is English.
AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.
- COURAGE: Speak up when you see an opportunity; step up when you see a need.
- OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
- INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
- TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
- INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.
- RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.
At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.
Culture Starts With People, It Starts With You
By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.
Location: Portland, OR
Contract Type: Full time
Number: 550707
Date: Oct 21, 2026
Job Title: Data Scientist
PURPOSE
The Data Scientist will develop key data science products, methods, and models across the full analytics lifecycle: from defining the business & data understanding to data preparation, modeling, evaluation and deployment.
KEY RESPONSIBILITIES
Data Science
- Lead the development of data science methods, models, and products in support of North America stakeholders.
- Enhance existing data science methods, models, and products.
- Continuously improve our methodologies and challenge the status quo, raising the standards for faster delivery.
- Support improving and automating the data science platform and our machine learning pipeline to facilitate our data science activities and service use cases.
Data Science Network and Storytelling
- Develop and nurture a data science network, both within and outside of adidas, to ensure that best practices and innovations are disseminated across the company.
- Support presenting and promoting results and insights to adidas colleagues at all levels.
Stakeholder Management
- Manage relationships with key stakeholders, ensuring their views and requirements are captured.
- Act as the ambassador for your products, showcasing the key functionalities, driving adoption and assuring operational excellence together with IT peers.
KEY RELATIONSHIPS
- Global Data & Analytics (e.g., Data Assets, Data Platforms, Data Governance, Market Teams)
- Global IT
- Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale / Retail)
- HR (Senior) Management
- Digital
REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS
Education & Professional Experience
- Bachelor or Master’s degree in Data Science, Mathematics, Statistics, or related technical discipline.
- At least 5-7 years work experience, preferably in a data science or analytics environment.
- Will accept any suitable combination of education, training or equivalent relevant job experience.
- Proven track record of working with senior stakeholders.
- Proficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems).
- Proficiency in Python and at least three of the standard data science programming frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).
- Familiarity with modern cloud compute platforms (e.g., Databricks, Snowflake).
- Solid understanding of relational databases and NoSQL databases.
- Proficiency in SQL.
- Solid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation.
- Concise written and oral communication skills (English).
- Comfortable presenting complex topics to stakeholders at various organizational levels.
- Proven team player that can collaborate across functions and organizations.
- Ability to develop influential and collaborative relationships.
- High resilience and solution-oriented attitude.
adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.
adidas offers robust and progressive medical, including HSA (Health Savings Account) with employer funding or FSA (Flexible Spending Account) options, dental, vision, prescription drug coverage, adoption, with surrogate and fertility support, short and long-term disability, and basic life and AD&D insurance. Employees are able to enroll in adidas’ 401k plan and Stock Purchase Plan with employer match. Full-time employees are eligible for education assistance and generous Leave policies including 14 weeks of paid parental leave.
Employees are eligible to earn an annual bonus based on company performance. Employees accrue prorated flexible time off in the amount .4388 hours per day that increases with years of service, twelve paid holidays throughout the calendar year and Service Time Off during milestone years.
At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Portland, OR.
Though our teammates hail from all corners of the world, our working language is English.
AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.
- COURAGE: Speak up when you see an opportunity; step up when you see a need.
- OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
- INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
- TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
- INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.
- RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.
At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.
Culture Starts With People, It Starts With You
By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.
Location: Portland, OR
Contract Type: Full time
Number: 550707
Date: Oct 21, 2026
AI ML Engineering Job Roles in Oregon
See all 103+ AI ML Engineering Jobs in Oregon
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Search AI ML Engineering Jobs in OregonAI ML Engineering Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Oregon?
Intel is one of Oregon's most active H-1B visa sponsors and maintains a significant presence in Hillsboro with engineering teams working on hardware-adjacent ML roles. Nike's global headquarters in Beaverton has expanded its data science and AI functions. Portland-based tech companies and smaller AI startups also sponsor, though volume and consistency vary significantly by employer size and hiring cycle.
Which visa types are most common for AI/ML engineering roles in Oregon?
The H-1B is the most common visa for AI/ML engineers in Oregon, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a closely related field. O-1A visas are an option for engineers with demonstrated exceptional ability through published research, patents, or significant technical contributions. Some roles at universities or research institutions may also involve J-1 visa or F-1 OPT authorization.
Which cities in Oregon have the most AI/ML engineering sponsorship jobs?
Portland and the broader metro area, including Hillsboro and Beaverton, account for the large majority of AI/ML sponsorship activity in Oregon. Intel's Hillsboro campus alone drives substantial engineering hiring. Eugene has a smaller but emerging tech presence connected to the University of Oregon. Corvallis, home to Oregon State University, occasionally produces research-adjacent ML roles, though commercial sponsorship there is limited.
How to find ai ml engineering visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI/ML engineering roles in Oregon where employers are actively willing to sponsor. Rather than sorting through thousands of general postings, you can search directly for sponsorship-confirmed openings in the state. Focusing on companies with established H-1B filing histories in Oregon, particularly in the Portland metro, improves your chances of finding active opportunities.
Are there state-specific factors AI/ML engineers should know about Oregon sponsorship jobs?
Oregon has no state income tax, which affects total compensation comparisons but does not directly impact visa sponsorship processes. Employers must still meet Department of Labor prevailing wage requirements for the specific role and location when filing an H-1B Labor Condition Application. Oregon State University and the University of Oregon produce ML graduates who feed local pipelines, meaning some employers in the state are already familiar with sponsoring international candidates from those programs.
What is the prevailing wage for sponsored ai ml engineering jobs in Oregon?
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.