Machine Learning Intern Green Card Jobs
Machine Learning Intern roles can qualify for EB-2 or EB-3 green card sponsorship through PERM labor certification when the position requires a bachelor's degree in computer science, statistics, or a related field. Employers file with DOL to document that no qualified U.S. worker is available, opening a path to permanent residency sponsorship for the right candidate.
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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 37+ 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 Green Card Sponsorship as a Machine Learning Intern
Align your degree to the role
PERM requires your credentials to match the job's minimum requirements exactly. A degree in mathematics or electrical engineering can qualify if the job description ties those fields directly to machine learning tasks like model training or data pipeline engineering.
Target employers with PERM filing history
Search OFLC Wage Search disclosure data to identify companies that have filed PERM applications for machine learning or data science roles. Employers already familiar with the labor certification process move faster and make fewer documentation errors on your case.
Use Migrate Mate to find sponsoring employers
Filter your job search by green card sponsorship history using Migrate Mate. It surfaces employers who have sponsored EB-2 and EB-3 candidates for machine learning roles, so you're applying to companies with demonstrated willingness to run the PERM process.
Negotiate the job description before signing
The PERM application locks in the job duties and minimum requirements listed in your offer letter. Push for a description that reflects your actual ML work, including specific frameworks or degree fields, so it supports the strongest possible labor certification filing.
Understand EB-3 priority dates for your country
EB-3 backlogs vary significantly by birth country. Check the USCIS Visa Bulletin before accepting an internship-to-full-time path: candidates born in India or China face multi-year waits even after I-140 approval, while most other nationals see far shorter queues.
Machine Learning Intern jobs are hiring across the US. Find yours.
Find Machine Learning Intern JobsMachine Learning Intern Green Card Sponsorship: Frequently Asked Questions
Can a Machine Learning Intern role qualify for EB-2 or EB-3 green card sponsorship?
Yes, if the position requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. EB-3 covers most degree-requiring roles, while EB-2 applies when the position demands an advanced degree or the candidate has qualifications that demonstrate advanced expertise beyond the bachelor's level. The employer defines the minimum requirements in the PERM filing.
How does the PERM green card process differ from H-1B sponsorship for machine learning roles?
H-1B is a temporary work visa with an annual cap and lottery, meaning you can go unselected multiple years. PERM-based EB-2 and EB-3 sponsorship has no annual lottery and leads to permanent residency rather than a time-limited status. The tradeoff is timeline: PERM labor certification, I-140 petition, and adjustment of status typically take two to four years or longer depending on your birth country's priority date queue.
How do I find Machine Learning Intern jobs where the employer is willing to sponsor a green card?
Search specifically for employers with documented PERM filing history for machine learning or data science roles. Migrate Mate filters job listings by green card sponsorship history, so you can target companies that have already run the PERM process for similar positions rather than asking employers cold whether they'll sponsor.
Does my internship need to be full-time for the employer to file a PERM application on my behalf?
PERM labor certification is designed for permanent, full-time positions. An internship itself rarely qualifies, but a full-time role offer following the internship can. If your goal is green card sponsorship, discuss conversion to a permanent position with your employer early, because the PERM filing must describe the ongoing job duties, not the temporary internship scope.
What role does O*NET play in a PERM filing for a machine learning position?
DOL uses O*NET occupation classifications to assess whether the duties and degree requirements in a PERM filing are consistent with the job category. For machine learning roles, the O*NET profile for Software Developers or Computer and Information Research Scientists typically governs. Mismatches between your job description and the O*NET standard job zone can trigger audit scrutiny during labor certification review.
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