H-1B Visa Machine Learning Intern Jobs
Machine Learning Intern roles qualify as H-1B specialty occupations when they require a bachelor's degree in computer science, statistics, or a related field. Many research-driven employers sponsor H-1B transfers mid-internship or convert interns to full-time sponsored positions before cap season.
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Get Access To All JobsAbout Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
ROLE AND RESPONSIBILITIES:
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You’ll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.
- Write clean, efficient, and sustainable code.
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
- This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026.
- Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems.
- Strong communicator and team player. Being able to find solutions for open-ended problems.
PREFERRED QUALIFICATIONS:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
- Strong passion for research and for answering hard questions with research.
- Passion for applied ML and the Pinterest product.
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $12,100 monthly.
LI-HYBRID
LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
ROLE AND RESPONSIBILITIES:
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You’ll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.
- Write clean, efficient, and sustainable code.
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
- This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026.
- Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems.
- Strong communicator and team player. Being able to find solutions for open-ended problems.
PREFERRED QUALIFICATIONS:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
- Strong passion for research and for answering hard questions with research.
- Passion for applied ML and the Pinterest product.
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $12,100 monthly.
LI-HYBRID
LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
See all Machine Learning Intern jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Intern roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Intern
Verify your degree field matches the role
USCIS requires a direct relationship between your degree field and the internship duties. A statistics or data science degree supports ML intern roles more cleanly than a general business degree, which can trigger a Request for Evidence.
Check employer LCA filings before applying
Use Migrate Mate to filter ML intern postings by employers who have active Labor Condition Applications on file. Employers without prior LCA history often lack the internal HR infrastructure to sponsor in time for your start date.
Look up prevailing wage before negotiating
Run the SOC code for your specific ML role through the OFLC Wage Search before your offer call. DOL sets a wage floor by location and experience level, so knowing Level I and Level II thresholds prevents accepting an offer that can't legally support sponsorship.
Target cap-exempt employers for faster sponsorship
Universities, nonprofit research labs, and government-affiliated institutions are cap-exempt under USCIS rules. ML intern roles at these organizations can be sponsored outside the annual lottery window, which matters if you're between OPT expiration and cap selection.
Use O*NET to frame your specialty occupation case
The O*NET occupation profile for Machine Learning Engineer lists the education and skill requirements USCIS reviewers reference when evaluating specialty occupation. Aligning your job duties description to O*NET language reduces RFE risk on the I-129 petition.
Machine Learning Intern jobs are hiring across the US. Find yours.
Find Machine Learning Intern JobsMachine Learning Intern H-1B Visa: Frequently Asked Questions
Can an internship qualify as a specialty occupation for H-1B sponsorship?
Yes, if the role genuinely requires a bachelor's degree or higher in a specific field like computer science or statistics. USCIS evaluates the actual duties, not the title. ML intern roles at research-driven employers typically qualify because the work requires theoretical knowledge in machine learning, not just general computer skills.
How do I find Machine Learning Intern employers who actively sponsor H-1B visas?
Migrate Mate filters ML intern postings by employers with verified H-1B Labor Condition Application history on file with DOL. This tells you which companies have gone through the sponsorship process before, which is a stronger signal than an employer simply saying they're open to sponsorship during a recruiter call.
Does my F-1 OPT status affect how and when an employer can sponsor my H-1B?
If you're on OPT or STEM OPT, your employer can file your H-1B cap-subject petition during the annual registration window for a October 1 start date. If your OPT expires before October 1, cap-gap protection under USCIS rules extends your work authorization automatically once the petition is filed and selected, as long as you maintain continuous employment.
What happens if my ML internship converts to a full-time role before H-1B cap season?
Your employer can keep you on OPT STEM extension while preparing your H-1B petition for the next cap cycle. If your degree field qualifies for STEM OPT, you can work for up to three years post-graduation without H-1B status, giving your employer time to file properly without rushing the process.
Is a master's degree in machine learning or data science required for H-1B sponsorship as an intern?
A bachelor's degree is the minimum USCIS requires for specialty occupation status. A master's degree strengthens the petition because it reinforces the direct connection between your credentials and the role, but it isn't required. What matters is that the position itself requires at least a bachelor's in a specifically related field, not just a preference for one.
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