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Job Highlights

AI-extracted key information

The Master's University Grad Machine Learning Engineer role at Pinterest involves contributing to cutting-edge research in machine learning and artificial intelligence, building intelligent data-driven models, and solving complex problems in areas such as recommendation systems and natural language processing. The position offers the opportunity to work on large-scale applied machine learning projects within a collaborative engineering team.

Salary Range

$137k - $175k/year

Experience Level

Entry Level

Benefits & Perks

Remote Work

Education Requirements

associate degree

AI-powered analysis • Data extracted from job description
Pinterest logo

Master's University Grad Machine Learning Engineer 2026 (USA)

PinterestSan Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, USEngineering & Technical

Posted 1 months ago

Full-Time

Employment Type

Remote

Work Location

$136,700 - $175,140

per year

About This Role

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 550 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. 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.

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)

Cross-functional collaborator and strong communicator

Comfortable solving ambiguous problems and adapting to a dynamic environment

Experience In Research And In Solving Analytical Problems

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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.

Information regarding the culture at Pinterest and benefits available for this position can be found

here

.

US based applicants only

$136,700

$175,140 USD

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.

Compensation

$136,700 - $175,140

Annual salary

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