ML Engineer Jobs at Pinterest with Visa Sponsorship
ML Engineer jobs at Pinterest involve building recommendation systems, content understanding models, and personalization infrastructure at scale. The company has a consistent track record of sponsoring work visas for this function, covering multiple visa categories for both new hires and employees already in the U.S.
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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+ ML Engineer Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs at Pinterest.
Get Access To All JobsTips for Finding ML Engineer Jobs at Pinterest
Frame your ML portfolio around recommendations
Pinterest's core product runs on personalization and visual search. Projects demonstrating experience with embedding models, ranking systems, or large-scale content retrieval signal direct relevance to their ML infrastructure and strengthen your application before the sponsorship conversation begins.
Confirm the role's sponsorship tier early
Pinterest sponsors multiple visa categories, but not every ML Engineer role supports every visa type. Ask your recruiter during the first screen which categories the specific team has filed for, so you're not surprised during offer negotiation.
Target Pinterest's applied ML and ranking teams
Pinterest posts ML Engineer roles across recommendation systems, ads relevance, and creator content. Roles closer to core ranking infrastructure tend to involve more clearly defined specialty occupation criteria, which makes the H-1B specialty occupation determination more straightforward for USCIS review.
Align your degree field to the posted role requirements
USCIS scrutinizes whether your degree field directly relates to the ML Engineer role. A computer science or statistics degree maps cleanly. If yours is adjacent, prepare documentation linking your coursework and experience to the specific responsibilities in Pinterest's job description.
Use Migrate Mate to filter verified ML Engineer openings
Identifying which Pinterest ML Engineer postings are actively open to visa sponsorship saves weeks of dead-end outreach. Migrate Mate filters jobs by sponsorship type so you can prioritize roles that match your visa category from the start.
Plan around H-1B cap timelines if you're on OPT
If you're working at Pinterest on F-1 OPT, your employer must file your H-1B petition by April 1 for an October 1 start. STEM OPT extensions give you up to three additional years of runway, but coordinate with Pinterest's immigration team well before your current authorization expires.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for ML Engineers?
Yes, Pinterest sponsors H-1B visas for ML Engineer roles. The company works with immigration counsel to file petitions for qualifying hires and has done so across multiple ML engineering functions. Because H-1B approvals are subject to the annual lottery, your timing and degree-to-role alignment both matter. Confirm sponsorship eligibility for the specific team during your recruiter screen, not after the offer stage.
How do I apply for ML Engineer jobs at Pinterest?
Applications go through Pinterest's careers site, where ML Engineer roles are listed by team and function. Tailor your resume to reflect Pinterest's focus areas, specifically recommendation systems, ranking models, and content understanding. You can also browse verified ML Engineer openings at Pinterest filtered by visa sponsorship category on Migrate Mate, which surfaces roles where sponsorship is actively available.
Which visa types does Pinterest commonly use for ML Engineers?
Pinterest sponsors H-1B, E-3 visa, TN visa, and F-1 OPT for ML Engineer roles, and supports Green Card pathways including EB-2 and EB-3 for longer-term employees. E-3 visa is available exclusively to Australian citizens and skips the H-1B lottery entirely. TN visa applies to Canadian and Mexican nationals in qualifying occupations. Your recruiter can confirm which categories apply to the specific role you're targeting.
What qualifications does Pinterest expect for ML Engineer roles?
Pinterest typically looks for a bachelor's degree or higher in computer science, electrical engineering, statistics, or a closely related field, combined with hands-on experience building and deploying ML systems at scale. For senior roles, experience with recommendation systems, embedding-based retrieval, or large-scale ranking pipelines carries significant weight. Familiarity with Python and distributed training frameworks is expected across most ML engineering functions at the company.
How do I time a visa sponsorship filing with a Pinterest offer?
Once Pinterest extends an offer and confirms sponsorship, your start date depends on your current status and which visa category applies. H-1B filings for cap-subject candidates must be submitted in April for an October 1 start date, so offers extended outside that window may require you to use a grace period or bridge status. E-3 and TN filings can happen year-round with shorter lead times. Coordinate directly with Pinterest's immigration team to map your specific timeline.