Machine Learning Jobs at Pinterest with Visa Sponsorship
Pinterest's Machine Learning team works 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.
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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. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What You’ll Do
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What We’re Looking For
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Compensation
- Salary Range: $189,721—$332,012 USD
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.
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.
US based applicants only
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. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What You’ll Do
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What We’re Looking For
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Compensation
- Salary Range: $189,721—$332,012 USD
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.
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.
US based applicants only
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Get Access To All JobsTips for Finding Machine Learning Jobs at Pinterest Jobs
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.
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.
Machine Learning at Pinterest jobs are hiring across the US. Find yours.
Find Machine Learning at Pinterest JobsFrequently 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 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, TN, 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 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.
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