AI ML Engineering Jobs at Pinterest with Visa Sponsorship
AI ML Engineering jobs at Pinterest involve building the recommendation systems, computer vision models, and ranking infrastructure that power a visual discovery platform used by hundreds of millions of people. Pinterest has a consistent track record of sponsoring work visas for this function, covering both temporary work visas and permanent residence pathways.
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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.
Pinterest is on a mission to bring everyone the inspiration to create a life they love. The Applied Science team plays a critical role in this mission by developing cutting-edge machine learning solutions that scale across all of Pinterest engineering teams (see our team's publications).
ROLE AND RESPONSIBILITIES:
We're looking for a highly technical Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of machine learning researchers and engineers within the Applied Science team. In this role, you will help the team build a portfolio of work which can balance that addresses both immediate short-term business needs and long-term strategic breakthroughs. You will partner with senior leaders to evolve our technical roadmap and directly drive Pinterest's core mission forward.
What you will do:
- Vision and Strategy: Own the technical roadmap and strategic vision for Pinterest's next-generation recommendation systems. Champion the use of state-of-the-art ML techniques to deliver revolutionary innovations in recommendation technology.
- Research to Production: Successfully transition breakthrough ML research into production-ready systems that directly impact core company metrics.
- Team Leadership and Culture: Manage, inspire, and develop a talented team of machine learning researchers and engineers specializing in recommendation systems. Partner with your team to define their charter, ensuring a strong balance between cutting-edge research and building foundational embeddings that benefit products across the entire company.
- Cross-functional Collaboration: Collaborate with Core Engineering, Ads Engineering, Infrastructure, Content, and Data Science teams to prototype, build, and scale solutions to complex engineering challenges. Partner with leadership to deepen user understanding and set the strategic direction for our recommendation system roadmap.
BASIC QUALIFICATIONS:
- Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
- Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights.
- Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers.
- Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes.
- Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions.
- Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields.
- Academic Credentials: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
PREFERRED QUALIFICATIONS:
- Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR).
- Experience leveraging modern LLM/Agentic workflows and generative AI capabilities to accelerate engineering productivity and context extraction.
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.
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.
Pinterest is on a mission to bring everyone the inspiration to create a life they love. The Applied Science team plays a critical role in this mission by developing cutting-edge machine learning solutions that scale across all of Pinterest engineering teams (see our team's publications).
ROLE AND RESPONSIBILITIES:
We're looking for a highly technical Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of machine learning researchers and engineers within the Applied Science team. In this role, you will help the team build a portfolio of work which can balance that addresses both immediate short-term business needs and long-term strategic breakthroughs. You will partner with senior leaders to evolve our technical roadmap and directly drive Pinterest's core mission forward.
What you will do:
- Vision and Strategy: Own the technical roadmap and strategic vision for Pinterest's next-generation recommendation systems. Champion the use of state-of-the-art ML techniques to deliver revolutionary innovations in recommendation technology.
- Research to Production: Successfully transition breakthrough ML research into production-ready systems that directly impact core company metrics.
- Team Leadership and Culture: Manage, inspire, and develop a talented team of machine learning researchers and engineers specializing in recommendation systems. Partner with your team to define their charter, ensuring a strong balance between cutting-edge research and building foundational embeddings that benefit products across the entire company.
- Cross-functional Collaboration: Collaborate with Core Engineering, Ads Engineering, Infrastructure, Content, and Data Science teams to prototype, build, and scale solutions to complex engineering challenges. Partner with leadership to deepen user understanding and set the strategic direction for our recommendation system roadmap.
BASIC QUALIFICATIONS:
- Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
- Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights.
- Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers.
- Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes.
- Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions.
- Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields.
- Academic Credentials: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
PREFERRED QUALIFICATIONS:
- Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR).
- Experience leveraging modern LLM/Agentic workflows and generative AI capabilities to accelerate engineering productivity and context extraction.
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.
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 41+ AI ML Engineering Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at Pinterest.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at Pinterest
Frame your ML portfolio around Pinterest's product
Pinterest prioritizes recommendation systems, visual search, and content ranking. Before applying, reframe past projects around these systems explicitly. Applicants whose portfolios reflect Pinterest's core ML surfaces get further in technical screens.
Target teams where your visa type fits cleanly
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT across AI ML roles, but each visa has different employer obligations. Identify which visa category your situation falls under before outreach so you can speak to the timeline without hesitation in recruiter calls.
Secure OPT early if you're on F-1 status
USCIS recommends filing for OPT authorization at least 90 days before your program end date. Pinterest's hiring cycles run several months long, so having your EAD in hand before an offer letter lands avoids costly start-date delays.
Use Migrate Mate to filter Pinterest's open AI ML roles by visa type
Not every Pinterest AI ML job posting signals sponsorship eligibility the same way. Migrate Mate lets you filter Pinterest's open roles specifically by the visa types they support, so you spend time on applications that match your authorization situation.
Prepare your specialty occupation documentation before the offer stage
For H-1B sponsorship, USCIS requires evidence the role qualifies as a specialty occupation. AI ML Engineering roles at Pinterest typically involve a specific degree requirement in computer science or a related field. Gather degree certificates and transcripts before negotiations begin.
Ask recruiting about PERM timing if you want a Green Card
Pinterest sponsors EB-2 and EB-3 permanent residence. PERM labor certification through DOL can take 12 to 18 months before an I-140 petition even files. Raising this during the offer stage, not after joining, lets you understand the company's internal PERM process and realistic timelines.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for AI ML Engineers?
Yes, Pinterest sponsors H-1B visas for AI ML Engineering roles. The process involves Pinterest filing a Labor Condition Application with the DOL, followed by an H-1B petition with USCIS. If you're subject to the annual cap and lottery, timing your application cycle matters. Pinterest's legal and HR teams handle the filing, but you should align your start date expectations to USCIS processing windows, which can range from a few months to longer with standard processing.
How do I apply for AI ML Engineering jobs at Pinterest?
Apply directly through Pinterest's careers portal, where AI ML Engineering roles are listed by team, such as recommendations, ads ML, or content understanding. Tailor your resume and any portfolio materials to the specific ML system the team works on. You can also browse Pinterest's current AI ML openings filtered by visa sponsorship eligibility on Migrate Mate, which surfaces roles aligned to your authorization type without sifting through irrelevant listings.
Which visa types does Pinterest commonly use for AI ML Engineering roles?
Pinterest sponsors H-1B and E-3 visas for temporary work authorization in AI ML Engineering, along with F-1 OPT for recent graduates and TN visas for Canadian and Mexican nationals in qualifying roles. For permanent residence, Pinterest files EB-2 and EB-3 petitions. The right pathway depends on your citizenship, degree level, and how long you've been in the U.S. Each visa type has distinct employer obligations and USCIS filing requirements.
What qualifications does Pinterest expect for AI ML Engineering roles?
Pinterest's AI ML Engineering roles typically require a bachelor's, master's, or PhD in computer science, electrical engineering, statistics, or a closely related field. Practical experience with large-scale recommendation systems, ranking models, or computer vision is heavily weighted. For H-1B sponsorship specifically, USCIS requires that the role normally requires at least a bachelor's degree in a specific specialty, which Pinterest's ML positions consistently satisfy given their technical depth and degree prerequisites.
How long does the visa sponsorship process take when joining Pinterest as an AI ML Engineer?
Timeline depends on visa type. E-3 and TN visas can be processed at a U.S. consulate or port of entry relatively quickly, sometimes within weeks. H-1B cap-subject petitions follow USCIS's April lottery and October 1 start date, meaning the process can take six months or more from registration to employment authorization. Premium processing through USCIS can accelerate the adjudication phase to 15 business days. Factor these windows into your job search and offer negotiation timeline.