AI ML Engineer Jobs at Pinterest with Visa Sponsorship
AI ML Engineer jobs at Pinterest involve building 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 visa, E-3 visa, and OPT transitions as part of standard hiring.
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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.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
What you'll do:
- Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
- Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
- Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
- Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
- Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
- Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
- Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.
What we're looking for:
- 8+ years of combined post-graduate academic and industry experience building and shipping production time-series/forecasting models with web-scale data.
- Bachelor's degree in a relevant field such as Computer Science or equivalent experience.
- A track record of delivering adjustable, well-calibrated, and explainable forecasting systems that inform decision-making.
- Strong background in time-series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
- Expertise in at least one scripting language (ideally Python).
- Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
- Business acumen and ownership mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
- Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
- Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
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.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
See all 53+ AI ML Engineer Jobs at Pinterest
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Pinterest
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.
Start your OPT extension paperwork before your offer letter arrives
If you're on F-1 OPT, STEM extension applications must be submitted before your initial OPT expires. Don't wait for an offer to initiate the process with your DSO, since USCIS can take weeks to process the extension.
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.
Prepare for H-1B cap timing if you're changing status
H-1B cap-subject petitions can only be filed for an October 1 start date, with lottery registration opening in March. If your OPT or grace period ends before October, discuss a deferred start or cap-exempt bridge role with your recruiter.
Frequently 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 visa (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.