Research Scientist Visa Sponsorship Jobs in Oregon
Oregon's research scientist jobs are concentrated at institutions like Oregon Health and Science University, Nike's innovation labs, Intel's R&D campuses in Hillsboro, and a growing cluster of biotech and environmental research firms in Portland and Corvallis. Many of these employers have established visa sponsorship programs, making Oregon one of the more active states for internationally trained researchers.
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Get Access To All JobsJob Requisition ID # 26WD94883
Position Overview
As an AI Scientist Manager at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are seeking an AI Scientist Manager to lead our post-training and model alignment efforts. This role sits at the critical intersection of advanced AI research, people leadership, and model readiness. You will both manage and grow a team of AI scientists and personally contribute as a hands-on researcher, owning the transformation of foundation models into reliable, aligned, and production-ready systems. This is not a purely managerial role. You will remain deeply technical while setting direction, making trade-offs, and taking accountability for model behavior at release. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry labs, combining the best of an academic environment with product-guided research. We are a global team, located in London, San Francisco, Toronto, and remotely in the US, Canada, and Europe. This role will report to Director of AI Research in the AI Lab.
Responsibilities
- Lead and contribute directly to post-training pipelines, including: instruction tuning and multi-task fine-tuning; preference optimization (RLHF, RLAIF, DPO, PPO, and related methods); domain-specific post-training and specialization for the AECO, Manufacturing, and Media & Entertainment industries
- Design and run experiments that shape model behavior, robustness, and reliability
- Decide what problems are best addressed through post-training vs pre-training vs product-level mitigation
- Partner with infrastructure teams to ensure efficient, reproducible, and scalable post-training workflows
- Design and maintain evaluation frameworks that measure: long-horizon reasoning and planning; tool-use and agentic behavior; safety, robustness, and alignment; regression and behavioral drift across releases
- Lead human-in-the-loop evaluation, ensuring annotation quality, consistency, and bias awareness
- Provide clear go / no-go recommendations for model releases, including explicit articulation of known risks and trade-offs
- Manage, mentor, and grow a team of AI scientists working on post-training and alignment
- Set clear technical direction while empowering researchers to own end-to-end projects
- Hire and develop scientists with strengths across ML, RL, evaluation, and human-centered AI
- Foster a culture of: rigorous experimentation and ablation, reproducibility and scientific integrity, thoughtful risk-taking and humility about model behavior
- Provide regular feedback, career coaching, and performance management
- Act as a key interface between: pre-training research; infrastructure and compute teams; Model Delivery team; safety, policy, and legal stakeholders
- Translate complex research trade-offs into clear, decision-ready guidance for leadership
- Influence the broader AI roadmap by identifying post-training opportunities that unlock product impact
Minimum Qualifications
- PhD or equivalent industry experience in Machine Learning, AI, or a related field
- Proven experience as a people manager of technical research or ML teams
- Strong hands-on expertise in: large language models or foundation models, fine-tuning and post-training methods (e.g., RLHF, DPO, instruction tuning), experimental design and evaluation
- Ability to move fluidly between research depth and organizational leadership
- Strong communication skills, with the ability to explain complex trade-offs to technical and non-technical audiences
Preferred Qualifications
- Experience operating in an AI research lab or frontier model organization
- Background in human-in-the-loop systems, preference learning, or alignment research
- Experience shipping or supporting production AI systems
- Familiarity with large-scale training infrastructure and compute cost trade-offs
- Experience in Architecture, Civil or Mechanical Engineering, Construction, Manufacturing, Media & Entertainment or other Autodesk domains
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $192,600 and $344,850. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Job Requisition ID # 26WD94883
Position Overview
As an AI Scientist Manager at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are seeking an AI Scientist Manager to lead our post-training and model alignment efforts. This role sits at the critical intersection of advanced AI research, people leadership, and model readiness. You will both manage and grow a team of AI scientists and personally contribute as a hands-on researcher, owning the transformation of foundation models into reliable, aligned, and production-ready systems. This is not a purely managerial role. You will remain deeply technical while setting direction, making trade-offs, and taking accountability for model behavior at release. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry labs, combining the best of an academic environment with product-guided research. We are a global team, located in London, San Francisco, Toronto, and remotely in the US, Canada, and Europe. This role will report to Director of AI Research in the AI Lab.
Responsibilities
- Lead and contribute directly to post-training pipelines, including: instruction tuning and multi-task fine-tuning; preference optimization (RLHF, RLAIF, DPO, PPO, and related methods); domain-specific post-training and specialization for the AECO, Manufacturing, and Media & Entertainment industries
- Design and run experiments that shape model behavior, robustness, and reliability
- Decide what problems are best addressed through post-training vs pre-training vs product-level mitigation
- Partner with infrastructure teams to ensure efficient, reproducible, and scalable post-training workflows
- Design and maintain evaluation frameworks that measure: long-horizon reasoning and planning; tool-use and agentic behavior; safety, robustness, and alignment; regression and behavioral drift across releases
- Lead human-in-the-loop evaluation, ensuring annotation quality, consistency, and bias awareness
- Provide clear go / no-go recommendations for model releases, including explicit articulation of known risks and trade-offs
- Manage, mentor, and grow a team of AI scientists working on post-training and alignment
- Set clear technical direction while empowering researchers to own end-to-end projects
- Hire and develop scientists with strengths across ML, RL, evaluation, and human-centered AI
- Foster a culture of: rigorous experimentation and ablation, reproducibility and scientific integrity, thoughtful risk-taking and humility about model behavior
- Provide regular feedback, career coaching, and performance management
- Act as a key interface between: pre-training research; infrastructure and compute teams; Model Delivery team; safety, policy, and legal stakeholders
- Translate complex research trade-offs into clear, decision-ready guidance for leadership
- Influence the broader AI roadmap by identifying post-training opportunities that unlock product impact
Minimum Qualifications
- PhD or equivalent industry experience in Machine Learning, AI, or a related field
- Proven experience as a people manager of technical research or ML teams
- Strong hands-on expertise in: large language models or foundation models, fine-tuning and post-training methods (e.g., RLHF, DPO, instruction tuning), experimental design and evaluation
- Ability to move fluidly between research depth and organizational leadership
- Strong communication skills, with the ability to explain complex trade-offs to technical and non-technical audiences
Preferred Qualifications
- Experience operating in an AI research lab or frontier model organization
- Background in human-in-the-loop systems, preference learning, or alignment research
- Experience shipping or supporting production AI systems
- Familiarity with large-scale training infrastructure and compute cost trade-offs
- Experience in Architecture, Civil or Mechanical Engineering, Construction, Manufacturing, Media & Entertainment or other Autodesk domains
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $192,600 and $344,850. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Research Scientist Job Roles in Oregon
See all Research Scientist Jobs in Oregon
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Search Research Scientist Jobs in OregonResearch Scientist Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for research scientists in Oregon?
Intel is among the most active H-1B visa sponsors for research scientists in Oregon, particularly at its Hillsboro campuses. Oregon Health and Science University (OHSU) regularly sponsors researchers in biomedical and clinical fields. Other notable sponsors include Nike (materials and sports science research), Pacific Northwest National Laboratory (managed through Battelle), and several biotech startups in the Portland metro area.
Which visa types are most common for research scientist roles in Oregon?
The H-1B is the most common visa for research scientist positions in Oregon, as most roles require at least a bachelor's degree in a specific scientific discipline, meeting the specialty occupation standard. University-affiliated researchers often come through J-1 visa exchange visitor programs. Scientists with exceptional publication records or awards may qualify for the O-1A. Some research roles at national laboratories may also support EB-1 or EB-2 NIW green card pathways.
Which cities in Oregon have the most research scientist sponsorship jobs?
Portland has the highest concentration of research scientist sponsorship activity, driven by OHSU, biotech firms, and Nike's world headquarters. Hillsboro, about 20 miles west of Portland, is significant due to Intel's large R&D presence. Corvallis is a strong hub for academic and agricultural research, anchored by Oregon State University. Eugene also sees activity through the University of Oregon, particularly in materials science and neuroscience research.
How to find research scientist visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship eligibility, so you can search research scientist roles in Oregon without manually screening each employer. The platform surfaces positions at universities, national labs, and private sector employers in Portland, Hillsboro, and Corvallis that have active sponsorship programs. Filtering by role type and state helps narrow results to organizations with documented sponsorship histories in the research sciences.
Are there state-specific factors research scientists should know about when pursuing sponsorship in Oregon?
Oregon's research sector is shaped by two distinct pipelines: university-affiliated research (OHSU, Oregon State, University of Oregon) and private sector R&D concentrated in semiconductors and consumer products. Employers filing Labor Condition Applications must pay the prevailing wage for the specific research scientist specialty and geographic area, which is determined by Department of Labor wage data for Oregon counties. Researchers in federally funded projects at national labs may also encounter additional security clearance considerations.
What is the prevailing wage for sponsored research scientist 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.