AI ML Engineering Jobs at Pinterest with Visa Sponsorship
Pinterest's AI ML Engineering team builds 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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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. We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the long‑term ML vision, strategy and operating model that powers user and engagement growth across Pinterest’s surfaces and entry points.
Requirements
You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation, retention, notifications, SEO, paid acquisition and lifecycle personalization. You’ll combine deep technical expertise with strong people leadership and product instincts to deliver industry‑leading methodologies in recommendation, ranking, experimentation, deep learning and generative AI. As the Director, Machine Learning for Growth, you’ll own the health, performance and evolution of our ML ecosystems across Growth. You’ll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging, inspiring platform for everyone. This means:
- Partnering with senior Product, Data Science, and Engineering leadership to set and execute a multi‑year strategy for Pinterest’s Growth systems.
- Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration.
- Building, developing and retaining a world‑class team of machine learning leaders and engineers.
- Acting as a visible thought partner and spokesperson for Growth ML to executives and cross‑functional stakeholders. You’ll also foster a healthy, inclusive community where ML practitioners across Growth can learn best practices, collaborate effectively and understand our technical direction.
What You’ll Do
- Own the ML strategy for Growth
+ Define and communicate a clear multi‑year ML vision, technical strategy and investment roadmap for the Growth organization.
+ Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition, activation, engagement depth and retention.
+ Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems.
- Lead and grow high‑performing ML teams
- Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters.
- Build an inclusive, high‑accountability culture focused on impact, learning and technical excellence.
-
Scale your leadership through org‑wide best practices, processes, training and tools for ML development, deployment and experimentation.
-
Drive execution on critical Growth initiatives
- Champion and lead large‑scale, cross‑functional initiatives that grow user visitation, activation and engagement depth, from ideation through execution.
- Ensure solid technical plans are in place for major Growth initiatives, including architecture, data strategy, measurement and risk management.
-
Partner closely with Product, Engineering, Data Science, Marketing and Sales to align roadmaps and deliver cohesive, end‑to‑end Growth experiences.
-
Shape our ML platforms and architecture
- Define a unified ML architecture for Growth, in partnership with central platform teams, that supports rapid experimentation and reliable, scalable production systems.
- Guide investments in foundational capabilities (feature platforms, training/serving infrastructure, experimentation, monitoring) that unlock leverage for all Growth teams.
-
Ensure Growth ML systems follow best practices around reliability, performance, privacy and responsible AI.
-
Influence across Pinterest
- Act as the primary ML point of contact for Growth with executive leadership and cross‑functional partners for a 125+ member org (and growing).
- Represent Growth ML needs and priorities in company‑wide planning, resource allocation and technical forums.
- Evangelize responsible and quality‑first discovery surfaces that drive user visitations while upholding Pinterest’s values.
What We’re Looking For
- Deep expertise building and operating large‑scale ML systems in production, using modern frameworks (e.g., deep learning, recommendation/ranking systems, reinforcement learning, generative AI).
- Demonstrated success driving Growth or adjacent problem spaces (e.g., activation funnels, notifications, lifecycle marketing, SEO, paid acquisition, or large‑scale consumer engagement).
- Proven track record of leading multiple ML teams or organizations, including managing managers and setting strategy across a broad portfolio of projects.
- Experience defining and executing multi‑year technical strategies and roadmaps, and delivering large, cross‑functional initiatives across multiple organizations.
- Strong product sense and ability to translate ambiguous business questions into well‑structured ML problems and experiments.
- Exceptional written and verbal communication skills, with a proven ability to influence senior leaders and collaborate cross‑functionally.
- Commitment to building responsible, user‑centric ML systems with high quality, fairness and safety standards.
- Degree in Computer Science, Machine Learning, Statistics or a related field, or equivalent practical experience.
- 12+ years of professional experience as a hands‑on engineer and technical leader, including 5+ years in people leadership roles (managing managers and senior ICs).
In‑Office Requirement Statement
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
- This role will need to be in the office for in‑person collaboration 1–2 times every 6 months 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. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$267,393—$491,531 USD
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.

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. We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the long‑term ML vision, strategy and operating model that powers user and engagement growth across Pinterest’s surfaces and entry points.
Requirements
You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation, retention, notifications, SEO, paid acquisition and lifecycle personalization. You’ll combine deep technical expertise with strong people leadership and product instincts to deliver industry‑leading methodologies in recommendation, ranking, experimentation, deep learning and generative AI. As the Director, Machine Learning for Growth, you’ll own the health, performance and evolution of our ML ecosystems across Growth. You’ll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging, inspiring platform for everyone. This means:
- Partnering with senior Product, Data Science, and Engineering leadership to set and execute a multi‑year strategy for Pinterest’s Growth systems.
- Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration.
- Building, developing and retaining a world‑class team of machine learning leaders and engineers.
- Acting as a visible thought partner and spokesperson for Growth ML to executives and cross‑functional stakeholders. You’ll also foster a healthy, inclusive community where ML practitioners across Growth can learn best practices, collaborate effectively and understand our technical direction.
What You’ll Do
- Own the ML strategy for Growth
+ Define and communicate a clear multi‑year ML vision, technical strategy and investment roadmap for the Growth organization.
+ Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition, activation, engagement depth and retention.
+ Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems.
- Lead and grow high‑performing ML teams
- Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters.
- Build an inclusive, high‑accountability culture focused on impact, learning and technical excellence.
-
Scale your leadership through org‑wide best practices, processes, training and tools for ML development, deployment and experimentation.
-
Drive execution on critical Growth initiatives
- Champion and lead large‑scale, cross‑functional initiatives that grow user visitation, activation and engagement depth, from ideation through execution.
- Ensure solid technical plans are in place for major Growth initiatives, including architecture, data strategy, measurement and risk management.
-
Partner closely with Product, Engineering, Data Science, Marketing and Sales to align roadmaps and deliver cohesive, end‑to‑end Growth experiences.
-
Shape our ML platforms and architecture
- Define a unified ML architecture for Growth, in partnership with central platform teams, that supports rapid experimentation and reliable, scalable production systems.
- Guide investments in foundational capabilities (feature platforms, training/serving infrastructure, experimentation, monitoring) that unlock leverage for all Growth teams.
-
Ensure Growth ML systems follow best practices around reliability, performance, privacy and responsible AI.
-
Influence across Pinterest
- Act as the primary ML point of contact for Growth with executive leadership and cross‑functional partners for a 125+ member org (and growing).
- Represent Growth ML needs and priorities in company‑wide planning, resource allocation and technical forums.
- Evangelize responsible and quality‑first discovery surfaces that drive user visitations while upholding Pinterest’s values.
What We’re Looking For
- Deep expertise building and operating large‑scale ML systems in production, using modern frameworks (e.g., deep learning, recommendation/ranking systems, reinforcement learning, generative AI).
- Demonstrated success driving Growth or adjacent problem spaces (e.g., activation funnels, notifications, lifecycle marketing, SEO, paid acquisition, or large‑scale consumer engagement).
- Proven track record of leading multiple ML teams or organizations, including managing managers and setting strategy across a broad portfolio of projects.
- Experience defining and executing multi‑year technical strategies and roadmaps, and delivering large, cross‑functional initiatives across multiple organizations.
- Strong product sense and ability to translate ambiguous business questions into well‑structured ML problems and experiments.
- Exceptional written and verbal communication skills, with a proven ability to influence senior leaders and collaborate cross‑functionally.
- Commitment to building responsible, user‑centric ML systems with high quality, fairness and safety standards.
- Degree in Computer Science, Machine Learning, Statistics or a related field, or equivalent practical experience.
- 12+ years of professional experience as a hands‑on engineer and technical leader, including 5+ years in people leadership roles (managing managers and senior ICs).
In‑Office Requirement Statement
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
- This role will need to be in the office for in‑person collaboration 1–2 times every 6 months 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. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$267,393—$491,531 USD
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.
See all 33+ AI ML Engineering at Pinterest jobs
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Get Access To All JobsTips for Finding AI ML Engineering Jobs at Pinterest Jobs
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.
AI ML Engineering at Pinterest jobs are hiring across the US. Find yours.
Find AI ML Engineering at Pinterest JobsFrequently 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.
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