AI ML Intern Jobs in Washington
AI ML Intern jobs in Washington concentrate in the technology, cloud computing, and aerospace sectors, with Seattle, Bellevue, and Redmond standing as the most active hiring metros in the state. Microsoft, Amazon, and Boeing maintain deep AI and machine learning programs in Washington, regularly bringing on interns across natural language processing, computer vision, and applied ML research. Washington is among the most active markets in the country for early-career AI talent, with openings at every level from undergraduate to graduate-stage candidates. See the openings below and apply to the ones that match your experience.
Find AI ML Intern JobsOverview
Open roles12
Top employerMeta
Top citySeattle, WA
Cities hiring2
Work type50% On-site
Top industryInsurance
Showing 5 of 12+ AI ML Intern jobs
Research Scientist Intern, AI Core Machine Learning (PhD)
We won't show you this job again
Added 1w ago
Meta
Research Scientist Intern, AI Core Machine Learning (PhD)
Bellevue, Washington
Added 1w ago
Research Scientist Intern, AI Core Machine Learning (PhD)
We won't show you this job again
Added 1w ago
Meta
Research Scientist Intern, AI Core Machine Learning (PhD)
Seattle, Washington
Added 1w ago
Machine Learning Engineer Graduate (Conversational AI) - 2027 Start
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Added 3w ago
TikTok
Machine Learning Engineer Graduate (Conversational AI) - 2027 Start
Seattle, Washington
Added 3w ago
Machine Learning Engineer Intern (Conversational AI) - 2027 Start (PhD)
We won't show you this job again
Added 3w ago
TikTok
Machine Learning Engineer Intern (Conversational AI) - 2027 Start (PhD)
Seattle, Washington
Added 3w ago
AI Software Engineer, Systems ML - Wearables AI
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Added 2mo ago
Meta
AI Software Engineer, Systems ML - Wearables AI
Seattle, Washington
Added 2mo ago
Added 1w ago
Research Scientist Intern, AI Core Machine Learning (PhD)
Meta·Bellevue, Washington
Job functions:
$7,650 - $13k/yr
Doctoral degree in Computer Science
10,000+ employees
Job Description
Meta was built to help people connect and share, and over the last decade, our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions.Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
- Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
Minimum Qualifications:
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience with Python, C++, C, Java, or other related languages
- Experience with research and building systems based on machine learning and/or deep learning methods
Preferred Qualifications:
- Intent to return to degree program after the completion of the internship/co-op
- Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training
- Experience working and communicating cross functionally in a team environment
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.
$7,650/month to $12,667/month + 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.
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.
$7,650/month to $12,667/month + 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.
Meta
Research Scientist Intern, AI Core Machine Learning (PhD)
Bellevue, Washington
Added 1w ago10,000+ employees
Job functions:
$7,650 - $13k/yr
Doctoral degree in Computer Science
Job Description
Meta was built to help people connect and share, and over the last decade, our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions.Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
- Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
Minimum Qualifications:
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience with Python, C++, C, Java, or other related languages
- Experience with research and building systems based on machine learning and/or deep learning methods
Preferred Qualifications:
- Intent to return to degree program after the completion of the internship/co-op
- Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training
- Experience working and communicating cross functionally in a team environment
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.
$7,650/month to $12,667/month + 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.
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.
$7,650/month to $12,667/month + 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.
See All 12 AI ML Intern Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Bellevue
1 jobAI ML Intern Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in AI ML intern jobs across Washington.
- Enrollment in a bachelor's or master's degree program in computer science, data science, or a related field
- Hands-on experience with Python and at least one machine learning framework such as TensorFlow or PyTorch
- Familiarity with data preprocessing, model training, and evaluation methodologies
- Experience with cloud platforms such as Azure, AWS, or Google Cloud is strongly preferred by Washington employers
- Strong mathematical foundation in linear algebra, probability, and statistics
- Demonstrated project work, GitHub portfolio, or research contributions in an AI or ML domain
AI ML Intern Jobs in Washington: Frequently Asked Questions
How do you become a ai ml intern in Washington?
AI ML intern roles in Washington do not require a state-issued license or credential. The standard path is enrollment in a computer science, data science, or related degree program at a Washington university such as the University of Washington or Washington State University, combined with coursework in machine learning and a demonstrable project portfolio. Internship applications typically open in the fall for the following summer, and candidates who complete relevant coursework and build public project repositories are most competitive.
Which companies hire ai ml interns in Washington?
Washington ai ml intern roles are posted by Meta, GEICO, and TikTok and others right now, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major technology headquarters and research labs means intern programs here are among the largest and most structured in the country.
Which Washington cities have the most ai ml intern jobs?
Seattle and Bellevue are the Washington cities with the most ai ml intern openings. Seattle and Bellevue anchor the distribution because Microsoft, Amazon, and a dense network of AI startups and research labs are headquartered there, while Redmond's role as Microsoft's global campus makes it a consistent source of structured intern programs throughout the year.
Are there remote ai ml intern jobs in Washington?
Yes, and more than most fields. About 50% of ai ml intern openings tied to Washington are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of most machine learning work. Research-focused and software-heavy intern roles tend to be the most remote-friendly, while positions involving proprietary hardware, lab infrastructure, or in-person team collaboration are more likely to require on-site presence.
How can I get hired as a ai ml intern in Washington with little or no experience?
The most realistic entry path is applying to formal intern programs at large Washington technology employers, which are designed for candidates who are still building experience. Microsoft's Explore and intern programs and Amazon's university hiring pipelines both accept candidates without prior professional ML experience, prioritizing coursework and project portfolios instead. Contributing to open-source machine learning projects, completing Kaggle competitions, and publishing code publicly on GitHub are the credentials that give Washington candidates the clearest edge when formal experience is limited.
Where can I find and apply to ai ml intern jobs in Washington?
You can find and apply to ai ml intern jobs in Washington on Migrate Mate, which lists current Washington openings. Search the listings to find roles that match your background, skills, and preferred location, then apply directly to the ones that fit.
See All 12 AI ML Intern Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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