# Master's University Grad Machine Learning Engineer 2027 (USA) at Pinterest

> United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Apinterest%3A8140219 (read 2026-11-04).

## Facts (observed)

- Company: [Pinterest](https://alderhq.app/companies/pinterest)
- Location text: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US; San Francisco
- Where it can be done from (inferred): United States (evidence: "Location: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US; San")
- Posted: 2026-10-01 (34 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.pinterestcareers.com/jobs/?gh_jid=8140219
- Skills listed (inferred): Python, Java, C++, Spark, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: $146k–$196k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 348): p25 $200k, median $250k, p75 $302k
- H-1B filings at this company for similar roles, FY26: 84, median offered wage $181k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Recognised sponsor (NL): registered as "Pinterest Netherlands B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "Pinterest UK" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### 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.

With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. 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.

By applying to this role, you will be considered for multiple roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc.

As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. As you kickstart your career at Pinterest, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.

What you’ll do:

- Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven model
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
- Build content recommendation systems to power our push, email, and in-app notifications
- Work on state-of-the-art large-scale applied machine learning projects
- Scope and independently solve moderately complex problems
### What we’re looking for

- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apinterest%3A8140219 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.