Fall Machine Learning Intern (Advance Technology Group - Visual & Multimodal)
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
What you’ll do:
Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
Write clean, efficient, and sustainable code
Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
Ability to work full time from September-December 2025
Working towards a PhD or Master’s degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Strong communicator and team player. Being able to find solutions for open-ended problems.
Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
Strong passion for research and for answering hard questions with research
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
#LI-EB1
#LI-REMOTE
About the job
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Fall Machine Learning Intern (Advance Technology Group - Visual & Multimodal)
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
What you’ll do:
Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
Write clean, efficient, and sustainable code
Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
Ability to work full time from September-December 2025
Working towards a PhD or Master’s degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Strong communicator and team player. Being able to find solutions for open-ended problems.
Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
Strong passion for research and for answering hard questions with research
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
#LI-EB1
#LI-REMOTE