AI Engineer Jobs at Pinterest with Visa Sponsorship
Pinterest's AI Engineer roles sit at the intersection of recommendation systems, computer vision, and large-scale content understanding. The company has a consistent track record of sponsoring work visas for engineering talent, covering multiple visa categories that serve candidates at different stages of their immigration journey.
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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. 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 Engineer Jobs at Pinterest Jobs
Frame your ML portfolio around Pinterest's stack
Pinterest's AI work centers on visual search, content recommendations, and embeddings at scale. Tailor your GitHub and portfolio to show experience with ranking systems, transformer-based models, or multi-modal architectures before you apply.
Target teams that filed LCAs recently
Search the DOL's public LCA disclosure data for Pinterest filings under "Computer Occupations" to identify which teams and job titles are actively sponsoring. That narrows your application to roles already set up for the H-1B process.
Prepare a specialty occupation evidence file
USCIS scrutinizes AI Engineer petitions to confirm the role genuinely requires a specific technical degree. Collect job postings, degree transcripts, and a written explanation linking your computer science or ML background directly to Pinterest's advertised role requirements.
Browse verified sponsorship roles on Migrate Mate
Filtering for AI Engineer openings that confirm visa sponsorship saves significant time. Migrate Mate lets you search Pinterest roles by visa type so you're only pursuing positions where sponsorship for your specific category is already confirmed.
AI Engineer at Pinterest jobs are hiring across the US. Find yours.
Find AI Engineer at Pinterest JobsFrequently Asked Questions
Does Pinterest sponsor H-1B visas for AI Engineers?
Yes, Pinterest sponsors H-1B visas for AI Engineer roles. Because H-1B cap-subject petitions are tied to the annual lottery, your employer needs to register you in March for an October 1 start date. Pinterest has the internal legal infrastructure to manage this process, but you'll want to confirm the timeline fits your current work authorization status before accepting an offer.
Which visa types does Pinterest commonly use for AI Engineer roles?
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT for AI Engineer positions, and also supports Green Card pathways including EB-2 and EB-3. Australian citizens typically use the E-3, which has no lottery and a faster timeline. Canadian and Mexican nationals may qualify for the TN. F-1 graduates use OPT or STEM OPT as a bridge while the company pursues longer-term sponsorship.
How do I apply for AI Engineer jobs at Pinterest?
Applications go through Pinterest's careers portal, where AI Engineer roles are typically listed under engineering or machine learning. You can also find and filter verified sponsorship-confirmed openings on Migrate Mate, which lets you sort by visa type so you're targeting roles that match your specific immigration situation before you invest time in the application process.
What qualifications does Pinterest expect for AI Engineer roles?
Most AI Engineer postings at Pinterest require a bachelor's or master's degree in computer science, electrical engineering, or a related field, plus hands-on experience with production machine learning systems. Pinterest's engineering work involves large-scale recommendation and retrieval systems, so demonstrated experience with embeddings, distributed training, or real-time inference pipelines carries significant weight in their evaluation process.
How do I plan my timeline if Pinterest is sponsoring my H-1B?
The H-1B lottery opens in March, with selections announced shortly after and petitions filed by June for an October 1 start. If you're on OPT when you accept an offer, confirm your OPT expiration date covers that window. If not, Pinterest can pursue cap-exempt status through a qualifying institution, or you may need to explore an alternative visa category to bridge the gap.
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