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 JobsINTRODUCTION
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.
Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.
We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.
ROLE AND RESPONSIBILITIES
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
BASIC QUALIFICATIONS
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
- 5+ years of industry computer vision experience.
- M.S. or PhD in Machine Learning, Computer Science, or related areas.
PREFERRED QUALIFICATIONS
- Publications at top ML conferences.
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
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 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.
COMPENSATION
- $161,263—$332,012 USD
Our compensation package includes generous equity and benefits in addition to salary. We are an equal opportunity employer...
US based applicants only
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
INTRODUCTION
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.
Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.
We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.
ROLE AND RESPONSIBILITIES
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
BASIC QUALIFICATIONS
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
- 5+ years of industry computer vision experience.
- M.S. or PhD in Machine Learning, Computer Science, or related areas.
PREFERRED QUALIFICATIONS
- Publications at top ML conferences.
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
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 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.
COMPENSATION
- $161,263—$332,012 USD
Our compensation package includes generous equity and benefits in addition to salary. We are an equal opportunity employer...
US based applicants only
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
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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.