2025 Fall Machine Learning Intern at Pinterest

Feedinkoo

United States

Remote

USD 111,600 - 122,760

Part time

14 days+

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Job summary

Feedinkoo is looking for a Machine Learning Intern to tackle AI challenges related to ads. You will contribute to cutting-edge research, build data-driven models, and write efficient code.

The ideal candidate is working toward a Master’s or Ph.D. in a relevant field and possesses skills in recommendation systems and NLP. The role offers a competitive salary range of $10,000–$11,000 monthly, depending on experience and skills.

Applicants must be based in the United States for this position.

Qualifications

  • Experience in ranking, recommendation systems, and content recommendations.
  • Strong communication and teamwork skills.
  • Self-motivated, able to solve open-ended problems.

Responsibilities

  • Contribute to machine learning research to personalize Pinterest.
  • Build intelligent data-driven models.
  • Write clean and efficient code.
  • Solve modeling and ranking problems across ads.

Skills

Recommendation systems
Natural Language Processing (NLP)
Machine Learning frameworks (TensorFlow, PyTorch)
Data analysis
Systems programming languages (Java, C++, Python)

Education

Master’s or Ph.D. in Computer Science, ML, Statistics, or related field

Job description

Job Overview

As a Machine Learning Intern in the Monetization organization, you will work on machine learning and AI challenges related to ads, partnering with engineering teams and contributing to product and feature development at scale.

What You’ll Do
  • Contribute to cutting‑edge research in machine learning and AI to personalize Pinterest.
  • Collect, analyze, synthesize data findings, and build intelligent data‑driven models.
  • 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 of task completion and quality, working with minimal guidance from mentors, managers, and peers.
What We Are Looking For
  • Lower Funnel Monetization team focus.
  • Experience in recommendation systems.
  • Working toward a Master’s or Ph.D. in Computer Science, ML, Statistics, Information Sciences, or a related field.
  • Experience in ranking, recommendation systems, NLP, content recommendations, embedding, information retrieval, etc.
  • Mastery of at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow).
  • Practical knowledge of large‑scale recommender systems or modern ad ranking, retrieval, targeting, marketplace systems.
  • Strong communication and teamwork skills, self‑motivated, able to solve open‑ended problems.
Preferred Qualifications
  • Publications at top ML conferences.
  • Passion for applied ML and Pinterest product.
Location and Work Arrangements

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.

Compensation

Salary range: $10,000‑$11,000 monthly. Final salary depends on location, travel, experience, and specific skills.

Benefits

Information about culture and benefits is available upon request.

Application Eligibility

US based applicants only.

Equal Opportunity Employer

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.

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