2025 Fall Machine Learning Intern at Pinterest
Job Description
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.
As a Machine Learning Intern at Pinterest within our monetization organization, you’ll work on tackling new challenges in machine learning and artificial intelligence within ads. Throughout your internship, 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. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners.
We offer a 12-week fall internship remotely or in our San Francisco, Palo Alto or Seattle offices.
What You’ll Do
Contribute in cutting-edge research in machine learning and artificial intelligence to personalize Pinterest
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 ads
Scope and independently solve moderately complex problems
Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers
What We Are Looking For
This role will be on our Lower Funnel Monetization team. We are looking for candidates with experience in recommendation systems
Working towards a Master’s or PhD degree in Computer Science, ML, Statistics, Information Sciences or related field
Machine Learning (ranking, recommendation systems, NLP, content recommendations, embedding, information retrieval etc)
Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Practical knowledge of large scale recommender systems or modern ads ranking, retrieval, targeting, marketplace systems
Strong communicator and team player, with a self-motivated mindset and the ability to find solutions for open-ended problems
Preferred Qualifications:
Publications at top ML conferences
Passion for applied ML and the Pinterest product
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.
In an effort to provide greater transparency, we are sharing the base salary range for this position. 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
The salary for this position is $10,000-$11,000 monthly.
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.
