Engineering Jobs at Pinterest with Visa Sponsorship
Engineering jobs at Pinterest involve building the visual discovery infrastructure used by hundreds of millions of people worldwide. The company has a consistent track record of sponsoring work visas for engineering talent across multiple categories, making it a realistic target if you're navigating the U.S. immigration process.
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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.
Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.
What you'll do:
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding
- Provide visibility to senior leadership regarding the team's global impact
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest
- Build a culture of excellence and expertise within the team
What we're looking for:
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology
- Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
- Strong focus on product impact and user experience within a consumer-focused environment
- Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions
Nice to have:
- Experience with 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
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
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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.
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Get Access To All JobsTips for Finding Engineering Jobs at Pinterest
Align your portfolio to Pinterest's stack
Pinterest engineering roles emphasize distributed systems, machine learning infrastructure, and large-scale data pipelines. Tailor your GitHub projects and resume to reflect hands-on experience in these areas before applying, since generic backend portfolios get filtered out early.
Target roles that match your visa category
Pinterest sponsors multiple visa types, but not every role maps equally to each category. If you're on F-1 OPT, prioritize roles explicitly listed as new-grad or university-hire pipelines, where employers expect shorter authorization windows and plan accordingly.
Browse Pinterest's open engineering roles on Migrate Mate
Migrate Mate filters engineering jobs by verified sponsorship history so you can identify which Pinterest roles are actively hiring sponsored candidates, saving you from applying to positions that won't move forward on your visa type.
Initiate the H-1B conversation before your OPT expires
H-1B cap-subject petitions can only be filed once per year for an October 1 start date. If your OPT expires before that window, you'll need STEM OPT or a gap plan. Raise your timeline with the recruiter during the offer stage, not after signing.
Request the LCA before your start date
Your employer files a Labor Condition Application with the DOL before petitioning USCIS for an H-1B or E-3. Confirm this step is underway during onboarding, since processing delays on the LCA can push back your legal start date even after an offer is signed.
Prepare documentation showing specialty occupation clearly
Pinterest engineering roles typically require a degree in computer science, software engineering, or a closely related field. USCIS scrutinizes specialty occupation eligibility closely, so gather transcripts and any equivalency evaluations before the petition stage, not after a Request for Evidence lands.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for Engineers?
Yes, Pinterest sponsors H-1B visas for engineering roles. The company participates in the annual H-1B cap lottery for new hires and also files cap-exempt petitions when applicable. Because H-1B selection is lottery-based, timing your application to align with the March registration window is critical. Pinterest's engineering team has a consistent pattern of supporting sponsored hires through the full USCIS petition process.
How do I apply for Engineering jobs at Pinterest?
Apply through Pinterest's careers page, targeting roles that match your engineering discipline and current visa status. Migrate Mate lists Pinterest's open engineering positions filtered by verified sponsorship history, which helps you prioritize roles where sponsorship is actively supported. Tailor your application to Pinterest's focus areas: recommendation systems, infrastructure, and ML platform engineering tend to see consistent hiring activity.
Which visa types does Pinterest commonly use for Engineering roles?
Pinterest sponsors H-1B, E-3 visa, TN visa, F-1 OPT, and employment-based Green Card categories including EB-2 and EB-3 for engineering positions. E-3 visa is available exclusively to Australian nationals. TN visa applies to Canadian and Mexican citizens in specific engineering classifications under USMCA. For long-term permanent residence, Pinterest typically initiates PERM labor certification for engineers on an ongoing basis.
What qualifications does Pinterest expect for sponsored Engineering roles?
Most engineering roles at Pinterest require a bachelor's degree or higher in computer science, software engineering, electrical engineering, or a directly related field. This degree requirement matters beyond just the job listing. USCIS evaluates whether the role qualifies as a specialty occupation, so your credentials need to align tightly with the position. Advanced degrees or significant industry experience in distributed systems, ML, or data infrastructure strengthen both the application and the petition.
How do I time my Engineering job search at Pinterest around visa deadlines?
If you're targeting an H-1B, Pinterest would need to register you in the USCIS lottery by mid-March for an October 1 start. Work backward from your OPT or current status expiration to determine whether you need STEM OPT extension, a cap-gap bridge, or a different visa category entirely. Starting your interview process at Pinterest six to nine months before any status deadline gives you enough runway to clear hiring cycles and petition filing without a gap in work authorization.