Machine Learning Jobs at Pinterest with Visa Sponsorship
Machine Learning jobs at Pinterest involve working on recommendation systems, visual search, and content understanding at scale. The company has a consistent track record of sponsoring work visas for ML engineers and researchers, covering both nonimmigrant and immigrant pathways for qualified candidates.
Find Machine Learning Jobs at PinterestOverview
Showing 5 of 39+ Machine Learning Jobs at Pinterest
See all 39+ Machine Learning Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Pinterest.
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 39+ Machine Learning Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Pinterest.
Get Access To All JobsTips for Finding Machine Learning Jobs at Pinterest
Align your portfolio to Pinterest's ML stack
Pinterest's ML roles center on recommendation systems, computer vision, and large-scale content ranking. Showcase projects using PyTorch or TensorFlow with production-scale datasets. Generic ML portfolios get screened out early in favor of candidates with demonstrable relevance.
Target roles explicitly listing sponsorship eligibility
Pinterest posts distinguish between roles open to sponsorship and those requiring existing authorization. Filter job listings for sponsorship-eligible positions before applying. Applying to roles with no sponsorship pathway wastes your 60-day OPT grace period if you're between positions.
Request premium processing before your OPT expires
USCIS premium processing reduces H-1B adjudication to 15 business days. If your OPT end date is approaching, coordinate with Pinterest's recruiting team early so the I-129 petition can be filed and upgraded before your authorized work period lapses.
Prepare a specialized skills brief for your recruiter
Pinterest's immigration team files Labor Condition Applications with DOL specifying a specialty occupation. Providing your recruiter a one-page summary of your ML specialization and directly relevant degree field helps them classify your role accurately and avoid LCA complications downstream.
Map your visa type to Pinterest's green card timeline
Pinterest sponsors EB-2 and EB-3 green card categories for ML roles. If your undergraduate degree is in a field adjacent to ML, confirm with your immigration attorney whether EB-2 or EB-3 aligns better before your H-1B is filed, since changing categories later adds delay.
Find open ML roles at Pinterest through Migrate Mate
Identifying which Pinterest ML postings are actively accepting sponsored candidates is the first practical step. Use Migrate Mate to filter Pinterest's open Machine Learning roles by visa type, so you're applying to positions where sponsorship is confirmed, not assumed.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for Machine Learning roles?
Yes, Pinterest sponsors H-1B visas for Machine Learning positions. Pinterest participates in the annual H-1B lottery, and ML engineers and researchers are among the roles supported. If you're on F-1 OPT, Pinterest can bridge your status through the cap-gap period while your H-1B visa petition is pending, provided it's filed before your OPT expires.
How do I apply for Machine Learning jobs at Pinterest?
Apply through Pinterest's careers portal or browse sponsorship-confirmed ML openings on Migrate Mate, which filters for roles where Pinterest has an active sponsorship track record. Tailor your application to Pinterest's focus areas, including recommendation systems and visual understanding, and be upfront about your work authorization status during the initial recruiter screen.
Which visa types does Pinterest commonly use for Machine Learning roles?
Pinterest sponsors H-1B, E-3 visa, TN visa, and F-1 OPT for ML roles at the nonimmigrant level. For permanent residence, Pinterest files PERM-based EB-2 and EB-3 petitions. Australian citizens are often sponsored on E-3 visas, which skip the H-1B lottery entirely. Canadian and Mexican nationals may qualify for TN visa status depending on their specific role classification.
What qualifications does Pinterest expect for Machine Learning positions?
Most Pinterest ML roles require a graduate degree in Computer Science, Statistics, or a closely related field, though exceptional candidates with a bachelor's degree and substantial production ML experience are sometimes considered. Pinterest's ML teams expect hands-on experience with large-scale distributed training, ranking systems, or computer vision, not just academic familiarity with frameworks.
How do I time my application around Pinterest's H-1B sponsorship process?
USCIS opens H-1B registrations in March each year, with the lottery drawn shortly after. Pinterest typically initiates sponsorship paperwork in the first quarter to meet that window. If you're targeting a start date aligned with the October 1 cap year, aim to have an offer finalized by February so there's sufficient time for DOL LCA certification before registration opens.