ML Engineer Jobs at Pinterest with Visa Sponsorship
Pinterest hires ML Engineers to build recommendation systems, content understanding models, and personalization infrastructure at scale. The company has a consistent track record of sponsoring work visas for this function, covering multiple visa categories for both new hires and employees already in the U.S.
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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 ML Engineer Jobs at Pinterest Jobs
Frame your ML portfolio around recommendations
Pinterest's core product runs on personalization and visual search. Projects demonstrating experience with embedding models, ranking systems, or large-scale content retrieval signal direct relevance to their ML infrastructure and strengthen your application before the sponsorship conversation begins.
Confirm the role's sponsorship tier early
Pinterest sponsors multiple visa categories, but not every ML Engineer role supports every visa type. Ask your recruiter during the first screen which categories the specific team has filed for, so you're not surprised during offer negotiation.
Target Pinterest's applied ML and ranking teams
Pinterest posts ML Engineer roles across recommendation systems, ads relevance, and creator content. Roles closer to core ranking infrastructure tend to involve more clearly defined specialty occupation criteria, which makes the H-1B specialty occupation determination more straightforward for USCIS review.
Align your degree field to the posted role requirements
USCIS scrutinizes whether your degree field directly relates to the ML Engineer role. A computer science or statistics degree maps cleanly. If yours is adjacent, prepare documentation linking your coursework and experience to the specific responsibilities in Pinterest's job description.
Use Migrate Mate to filter verified ML Engineer openings
Identifying which Pinterest ML Engineer postings are actively open to visa sponsorship saves weeks of dead-end outreach. Migrate Mate filters jobs by sponsorship type so you can prioritize roles that match your visa category from the start.
Plan around H-1B cap timelines if you're on OPT
If you're working at Pinterest on F-1 OPT, your employer must file your H-1B petition by April 1 for an October 1 start. STEM OPT extensions give you up to three additional years of runway, but coordinate with Pinterest's immigration team well before your current authorization expires.
ML Engineer at Pinterest jobs are hiring across the US. Find yours.
Find ML Engineer at Pinterest JobsFrequently Asked Questions
Does Pinterest sponsor H-1B visas for ML Engineers?
Yes, Pinterest sponsors H-1B visas for ML Engineer roles. The company works with immigration counsel to file petitions for qualifying hires and has done so across multiple ML engineering functions. Because H-1B approvals are subject to the annual lottery, your timing and degree-to-role alignment both matter. Confirm sponsorship eligibility for the specific team during your recruiter screen, not after the offer stage.
How do I apply for ML Engineer jobs at Pinterest?
Applications go through Pinterest's careers site, where ML Engineer roles are listed by team and function. Tailor your resume to reflect Pinterest's focus areas, specifically recommendation systems, ranking models, and content understanding. You can also browse verified ML Engineer openings at Pinterest filtered by visa sponsorship category on Migrate Mate, which surfaces roles where sponsorship is actively available.
Which visa types does Pinterest commonly use for ML Engineers?
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT for ML Engineer roles, and supports Green Card pathways including EB-2 and EB-3 for longer-term employees. E-3 is available exclusively to Australian citizens and skips the H-1B lottery entirely. TN applies to Canadian and Mexican nationals in qualifying occupations. Your recruiter can confirm which categories apply to the specific role you're targeting.
What qualifications does Pinterest expect for ML Engineer roles?
Pinterest typically looks for a bachelor's degree or higher in computer science, electrical engineering, statistics, or a closely related field, combined with hands-on experience building and deploying ML systems at scale. For senior roles, experience with recommendation systems, embedding-based retrieval, or large-scale ranking pipelines carries significant weight. Familiarity with Python and distributed training frameworks is expected across most ML engineering functions at the company.
How do I time a visa sponsorship filing with a Pinterest offer?
Once Pinterest extends an offer and confirms sponsorship, your start date depends on your current status and which visa category applies. H-1B filings for cap-subject candidates must be submitted in April for an October 1 start date, so offers extended outside that window may require you to use a grace period or bridge status. E-3 and TN filings can happen year-round with shorter lead times. Coordinate directly with Pinterest's immigration team to map your specific timeline.
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