companyPinterest, Inc. logo

PhD Fall Machine Learning Intern in Visual and Recommender Systems

Pinterest, Inc.San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
On-site Internship

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Entry Level

Qualifications

The ideal candidate will have a strong foundation in machine learning, deep learning, and data analysis. Candidates should be currently pursuing a PhD in a relevant field, with experience in implementing machine learning algorithms and working with large datasets.

About the job

Pinterest is looking for a PhD Fall Machine Learning Intern with a focus on visual, multimodal, and recommender systems. This internship centers on supporting advanced machine learning projects alongside skilled engineers and researchers.

Role overview

The position involves contributing to ongoing research and development in machine learning. Interns will have the chance to work on projects that explore visual understanding and recommendation technologies, learning from experienced team members throughout the process.

Collaboration

Expect to work closely with engineers and researchers who specialize in machine learning. The environment encourages sharing ideas and building solutions that impact Pinterest’s products.

Locations

  • San Francisco, CA, US
  • Palo Alto, CA, US
  • Seattle, WA, US
  • New York, NY, US

About Pinterest, Inc.

Pinterest, Inc. is a global visual discovery engine that helps people find inspiration to create a life they love. Our mission is to bring everyone the inspiration to create a life they love, with a focus on diversity and inclusion in our workplace.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.