Machine Learning Jobs at Pinterest with Visa Sponsorship
Machine Learning jobs at Pinterest involve working on recommendation systems, visual search, and content understanding at scale. The company has a consistent track record of sponsoring work visas for ML engineers and researchers, covering both nonimmigrant and immigrant pathways for qualified candidates.
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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.
Staff Machine Learning Engineer, Applied Science
As part of Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions. You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.
What you'll do:
- Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.
- Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed.
- Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science.
- Act as a technical leader in the applied AI space. Partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.
What we're looking for:
- MS/PhD in Computer Science, or equivalent industry experience
- Minimum 6 years of relevant industry experience
- Hands-on experience with large-scale recommendation system and reinforcement learning applications; experience with LLM/VLM post-training is a plus
- Technical leadership and experience in driving ambiguous research problems into production deliverables
- Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
- Cross-functional collaborator and strong communicator
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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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.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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.
Staff Machine Learning Engineer, Applied Science
As part of Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions. You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.
What you'll do:
- Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.
- Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed.
- Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science.
- Act as a technical leader in the applied AI space. Partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.
What we're looking for:
- MS/PhD in Computer Science, or equivalent industry experience
- Minimum 6 years of relevant industry experience
- Hands-on experience with large-scale recommendation system and reinforcement learning applications; experience with LLM/VLM post-training is a plus
- Technical leadership and experience in driving ambiguous research problems into production deliverables
- Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
- Cross-functional collaborator and strong communicator
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
LI-REMOTE
LI-DM57
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.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
See all 31+ Machine Learning Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Pinterest.
Get Access To All JobsTips for Finding Machine Learning Jobs at Pinterest
Align your portfolio to Pinterest's ML stack
Pinterest's ML roles center on recommendation systems, computer vision, and large-scale content ranking. Showcase projects using PyTorch or TensorFlow with production-scale datasets. Generic ML portfolios get screened out early in favor of candidates with demonstrable relevance.
Target roles explicitly listing sponsorship eligibility
Pinterest posts distinguish between roles open to sponsorship and those requiring existing authorization. Filter job listings for sponsorship-eligible positions before applying. Applying to roles with no sponsorship pathway wastes your 60-day OPT grace period if you're between positions.
Request premium processing before your OPT expires
USCIS premium processing reduces H-1B adjudication to 15 business days. If your OPT end date is approaching, coordinate with Pinterest's recruiting team early so the I-129 petition can be filed and upgraded before your authorized work period lapses.
Prepare a specialized skills brief for your recruiter
Pinterest's immigration team files Labor Condition Applications with DOL specifying a specialty occupation. Providing your recruiter a one-page summary of your ML specialization and directly relevant degree field helps them classify your role accurately and avoid LCA complications downstream.
Map your visa type to Pinterest's green card timeline
Pinterest sponsors EB-2 and EB-3 green card categories for ML roles. If your undergraduate degree is in a field adjacent to ML, confirm with your immigration attorney whether EB-2 or EB-3 aligns better before your H-1B is filed, since changing categories later adds delay.
Find open ML roles at Pinterest through Migrate Mate
Identifying which Pinterest ML postings are actively accepting sponsored candidates is the first practical step. Use Migrate Mate to filter Pinterest's open Machine Learning roles by visa type, so you're applying to positions where sponsorship is confirmed, not assumed.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for Machine Learning roles?
Yes, Pinterest sponsors H-1B visas for Machine Learning positions. Pinterest participates in the annual H-1B lottery, and ML engineers and researchers are among the roles supported. If you're on F-1 OPT, Pinterest can bridge your status through the cap-gap period while your H-1B visa petition is pending, provided it's filed before your OPT expires.
How do I apply for Machine Learning jobs at Pinterest?
Apply through Pinterest's careers portal or browse sponsorship-confirmed ML openings on Migrate Mate, which filters for roles where Pinterest has an active sponsorship track record. Tailor your application to Pinterest's focus areas, including recommendation systems and visual understanding, and be upfront about your work authorization status during the initial recruiter screen.
Which visa types does Pinterest commonly use for Machine Learning roles?
Pinterest sponsors H-1B, E-3 visa, TN visa, and F-1 OPT for ML roles at the nonimmigrant level. For permanent residence, Pinterest files PERM-based EB-2 and EB-3 petitions. Australian citizens are often sponsored on E-3 visas, which skip the H-1B lottery entirely. Canadian and Mexican nationals may qualify for TN visa status depending on their specific role classification.
What qualifications does Pinterest expect for Machine Learning positions?
Most Pinterest ML roles require a graduate degree in Computer Science, Statistics, or a closely related field, though exceptional candidates with a bachelor's degree and substantial production ML experience are sometimes considered. Pinterest's ML teams expect hands-on experience with large-scale distributed training, ranking systems, or computer vision, not just academic familiarity with frameworks.
How do I time my application around Pinterest's H-1B sponsorship process?
USCIS opens H-1B registrations in March each year, with the lottery drawn shortly after. Pinterest typically initiates sponsorship paperwork in the first quarter to meet that window. If you're targeting a start date aligned with the October 1 cap year, aim to have an offer finalized by February so there's sufficient time for DOL LCA certification before registration opens.