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

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

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 3000 global employees our teams are small mighty and still growing. At Pinterest youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont 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 youll work on tackling new challenges in machine learning and artificial intelligence. As you kickstart your career at Pinterest youll 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 tomorrows engineering challenges.

What youll 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 were looking for:

Masters 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 were 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.

#LI-HYBRID

Required Experience:

What youll 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 were looking for:

Masters 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 were 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.

#LI-HYBRID

Required Experience: