AI ML Engineer Jobs at Pinterest with Visa Sponsorship
AI ML Engineer jobs at Pinterest involve building recommendation systems, visual search, and content understanding at scale. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, E-3 visa, and OPT transitions as part of standard hiring.
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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 Engineer Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs at Pinterest.
Get Access To All JobsTips for Finding AI ML Engineer Jobs at Pinterest
Tailor your portfolio to Pinterest's core systems
Pinterest's AI work centers on visual search, homefeed ranking, and content recommendations. Frame your projects around recommendation systems, image embeddings, or large-scale ranking pipelines to signal direct relevance to their engineering priorities.
Target roles flagged for specialty occupation filings
Pinterest regularly files Labor Condition Applications with DOL for ML-specific titles like Machine Learning Engineer and Applied Research Scientist. Search DOL's OFLC disclosure data to confirm which exact job titles Pinterest has filed for before you apply.
Start your OPT extension paperwork before your offer letter arrives
If you're on F-1 OPT, STEM extension applications must be submitted before your initial OPT expires. Don't wait for an offer to initiate the process with your DSO, since USCIS can take weeks to process the extension.
Clarify sponsorship intent early in recruiter conversations
Pinterest's recruiting process for ML roles moves quickly through technical screens and system design rounds. Raise your visa status in the first recruiter call so sponsorship logistics don't stall an offer after three or four interview rounds.
Use Migrate Mate to filter Pinterest's open AI ML roles by visa type
Sponsored roles aren't always labeled clearly on company career pages. Migrate Mate lets you filter Pinterest's AI ML openings by visa category, so you're only applying to positions where your status is a fit.
Prepare for H-1B cap timing if you're changing status
H-1B cap-subject petitions can only be filed for an October 1 start date, with lottery registration opening in March. If your OPT or grace period ends before October, discuss a deferred start or cap-exempt bridge role with your recruiter.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for AI ML Engineers?
Yes, Pinterest sponsors H-1B visas for AI ML Engineer roles. The company files Labor Condition Applications with DOL for ML-specific positions and has supported candidates through both cap-subject and transfer petitions. If you're already on H-1B with another employer, Pinterest can file an H-1B transfer, letting you start as soon as USCIS receives the petition.
How do I apply for AI ML Engineer jobs at Pinterest?
Apply directly through Pinterest's careers page, or use Migrate Mate to browse their open AI ML roles filtered by visa sponsorship type. Pinterest's interview process for ML positions typically includes a recruiter screen, a technical coding round, a machine learning system design interview, and a final loop. Mentioning your visa status early with the recruiter avoids late-stage friction.
Which visa types does Pinterest commonly use for AI ML Engineer hires?
Pinterest sponsors H-1B, E-3 (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and STEM OPT extensions, and immigrant visa pathways including EB-2 and EB-3. For ML engineering roles, H-1B and STEM OPT are the most common entry points, with employer-sponsored Green Card filings typically available after you've established tenure in the role.
What qualifications does Pinterest expect for AI ML Engineer roles?
Pinterest's ML engineering roles typically require a bachelor's degree in computer science, statistics, or a related field, though many postings list a master's or PhD as preferred for research-adjacent positions. Hands-on experience with recommendation systems, deep learning frameworks like PyTorch or TensorFlow, and large-scale data pipelines is consistently emphasized. Industry experience building production ML systems carries more weight than coursework alone.
How long does the visa sponsorship process take when joining Pinterest as an AI ML Engineer?
Timeline depends on your visa type. H-1B transfers typically become effective once USCIS receives the petition, which takes two to four weeks. New H-1B cap filings require an October 1 start date. E-3 and TN visas can often be processed at a U.S. consulate within weeks of receiving your offer documents. STEM OPT extensions should be filed at least 90 days before your current OPT expires.