Machine Learning Engineer Jobs at Pinterest with Visa Sponsorship
Pinterest's Machine Learning Engineer roles sit at the intersection of recommendation systems, visual search, and large-scale ads modeling. The company has a consistent record of sponsoring work visas for ML engineers, supporting candidates through H-1B, E-3, and green card pathways.
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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 Engineer Jobs at Pinterest Jobs
Tailor your portfolio to Pinterest's ML stack
Pinterest's ML teams work heavily on embedding models, real-time ranking, and multimodal systems. Showcasing projects in these areas signals direct fit and makes it easier for hiring managers to justify sponsorship investment in your candidacy.
Confirm sponsorship eligibility before final rounds
Ask the recruiter during the initial screen whether the specific ML role is approved for H-1B or E-3 sponsorship. Some teams have headcount-tied sponsorship budgets, and confirming early avoids surprises after a strong technical interview performance.
Build a case for EB-2 NIW alongside employer sponsorship
ML engineers with published research, patents, or measurable industry contributions can self-petition under EB-2 NIW through USCIS, independent of employer-sponsored PERM. Running both tracks in parallel reduces dependency on a single green card timeline.
Find Pinterest ML openings filtered by sponsorship on Migrate Mate
Search Migrate Mate to filter Machine Learning Engineer roles at Pinterest by the visa types they sponsor. This lets you target active listings that align with your specific status before investing time in applications or recruiter outreach.
Machine Learning Engineer at Pinterest jobs are hiring across the US. Find yours.
Find Machine Learning Engineer at Pinterest JobsFrequently Asked Questions
Does Pinterest sponsor H-1B visas for Machine Learning Engineers?
Yes, Pinterest sponsors H-1B visas for Machine Learning Engineers. The company works with immigration counsel to file H-1B petitions for qualifying roles, and ML engineering positions are among the functions where sponsorship is regularly supported. If you're in the selection process, confirm sponsorship availability for the specific team and role level with the recruiter early.
Which visa types are commonly used for Machine Learning Engineer roles at Pinterest?
Machine Learning Engineers at Pinterest are commonly sponsored under H-1B and E-3 visas for initial employment authorization. F-1 OPT and STEM OPT extensions are also used by recent graduates during the period before H-1B sponsorship begins. For long-term residency, Pinterest supports employer-sponsored green card pathways including EB-2 and EB-3 through the PERM labor certification process.
What qualifications or experience are expected for Machine Learning Engineer roles at Pinterest?
Pinterest's ML engineer roles typically require a bachelor's or master's degree in computer science, statistics, or a related quantitative field. Hands-on experience with large-scale recommendation systems, ranking models, or deep learning frameworks is expected. For senior roles, a track record of shipping production ML systems and familiarity with distributed training pipelines strengthens a sponsorship case significantly.
How do I apply for Machine Learning Engineer jobs at Pinterest?
You can browse and apply for Machine Learning Engineer roles at Pinterest directly through Migrate Mate, which filters listings by visa sponsorship type so you can confirm the role fits your immigration status before applying. Applications typically move through a recruiter screen, a technical phone interview, and a virtual onsite covering ML system design, coding, and behavioral rounds.
How do I time my Pinterest ML job search around visa filing deadlines?
If you need H-1B sponsorship, USCIS opens registration in early March for an October 1 fiscal year start. Targeting a Pinterest offer by late January or early February gives the legal team enough runway to prepare the petition. If you're on STEM OPT, verify your expiration date against this calendar so your authorization doesn't lapse between OPT and H-1B activation.
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