AI ML Engineer Jobs at Pinterest with Visa Sponsorship
Pinterest builds its AI and ML engineering teams around 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, E-3, and OPT transitions as part of standard hiring.
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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 AI ML Engineer Jobs at Pinterest Jobs
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.
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.
AI ML Engineer at Pinterest jobs are hiring across the US. Find yours.
Find AI ML Engineer at Pinterest JobsFrequently 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 (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.
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