ML Software Engineer Jobs at Pinterest with Visa Sponsorship
ML Software Engineer jobs at Pinterest sit at the intersection of recommendation systems, visual search, and large-scale personalization infrastructure. The company actively sponsors work visas for engineering talent across multiple categories, making it a realistic target if you're building a career in applied machine learning in the U.S.
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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 Software Engineer Jobs at Pinterest
Align your portfolio with Pinterest's ML stack
Pinterest's engineering blog details their work on homogeneous graph transformers, two-tower retrieval models, and real-time ranking systems. Framing your portfolio around these specific problem domains signals genuine fit before you ever apply.
Target teams publishing applied research
Pinterest's ML org regularly publishes on recommendation systems and visual understanding. Identifying and citing their specific papers in your cover letter or recruiter outreach shows technical depth that generic applications lack.
Confirm your visa category before final interviews
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT, but each has distinct filing timelines. If your OPT expires before the next H-1B cap season opens, raise this with the recruiter during the offer stage, not after you've signed.
Use Migrate Mate to filter Pinterest ML openings
Pinterest posts ML Software Engineer roles across several sub-teams simultaneously, and not all listings make sponsorship eligibility obvious. Migrate Mate lets you filter specifically for sponsored Pinterest roles so you're applying to positions where your visa type is confirmed.
Prepare for a multi-round systems design process
Pinterest's ML engineering loop typically includes a dedicated ML systems design round alongside coding. Preparing examples from distributed training, feature pipelines, or online serving directly maps to what their interviewers assess.
Understand PERM timing if you're planning long term
If Pinterest eventually files a PERM-based Green Card for your role, the DOL-required prevailing wage determination and recruitment documentation process typically takes a year or more before USCIS even receives the petition. Factor this into your long-term planning from day one.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for ML Software Engineers?
Yes, Pinterest sponsors H-1B visas for ML Software Engineer roles. Because H-1B is subject to the annual USCIS cap and lottery, timing your offer and start date matters. If you're already in H-1B status with another employer, a transfer is possible without waiting for the next cap season, which can significantly simplify the process.
How do I apply for ML Software Engineer jobs at Pinterest?
Apply directly through Pinterest's careers portal, or use Migrate Mate to browse current ML Software Engineer openings at Pinterest filtered by visa sponsorship eligibility. Before applying, review Pinterest's engineering blog to understand their ML infrastructure priorities. Tailor your resume to reflect experience with large-scale ranking, retrieval, or recommendation systems, as these align with Pinterest's core product areas.
Which visa types does Pinterest commonly use for ML Software Engineers?
Pinterest sponsors H-1B, E-3 visa, TN visa, F-1 OPT, and EB-2 or EB-3 Green Card pathways for ML Software Engineer roles. Australian citizens are eligible for the E-3 visa, which avoids the H-1B lottery entirely. Canadian and Mexican nationals may qualify for TN visa status. For students on F-1 OPT, Pinterest can serve as your authorized OPT employer while a longer-term visa is arranged.
What qualifications does Pinterest expect for ML Software Engineer roles?
Pinterest ML roles typically require a bachelor's or master's degree in Computer Science, Electrical Engineering, or a closely related field, with hands-on experience in model training, evaluation, and deployment at scale. Familiarity with Pinterest's technical stack, including graph neural networks, two-tower models, or real-time serving infrastructure, strengthens your candidacy considerably. Industry experience in recommendation or ranking systems is frequently referenced in their job descriptions.
How do I time my application if my visa status is expiring soon?
If you're on F-1 OPT with fewer than six months remaining, contact Pinterest's recruiting team early to confirm they can accommodate your timeline. H-1B cap filings open each April for an October 1 start, so a late-year offer may require a gap or a cap-exempt bridge arrangement. E-3 and TN holders can transfer status more flexibly since neither category is lottery-based or subject to annual caps.