PhD Machine Learning Intern

Pinterest

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAPalo Alto, CASeattle, WANew York, NY
Employment
Intern
Posted
2 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$99k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $114,400–$241,750.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 48 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 42 roles with salary data.

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At a glance

TL;DR · PhD Machine Learning Intern

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PhD Machine Learning Internship 2027 (USA) involves joining the machine learning team to conduct research and develop large-scale recommendation systems. The intern will lead projects from start to finish, contributing to cutting-edge research in artificial intelligence that addresses practical engineering problems. Day-to-day responsibilities include working on production ML systems involving algorithmic research, infrastructure, data engineering, training, inference, and product development. Candidates must be proficient in at least one systems language like Java, C++, or Python, or an ML framework such as TensorFlow, PyTorch, or MLFlow. The role requires expertise in AI-native engineering, including agent-friendly codebases and prompt refinement. Research areas include image recognition, user modeling, search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics to solve complex problems within the platform's personalized experience ecosystem.

Skills

Machine Learning Artificial Intelligence Python Java C++ TensorFlow PyTorch MLFlow Natural Language Processing Neural Networks Graph Representation Learning Big Data Analytics Data Engineering Recommender Systems AI-native Engineering Inference Training

What you'll do

  • Lead a machine learning project from start to finish to solve specific Pinterest problems.
  • Conduct research in areas like image recognition, recommender systems, and natural language processing.
  • Develop and maintain production ML systems including infrastructure, data engineering, training, and inference.
  • Utilize frontier AI tools and agents to accelerate prototyping and engineering implementation.
  • Validate AI-generated outputs through rigorous testing, code review, and critical thinking.
  • Write clean, efficient, and sustainable code for large-scale machine learning applications.
  • Take proactive ownership of task completion and project quality with minimal guidance.

What we're looking for

  • Must be working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
  • Proficiency in at least one systems language such as Java, C++, or Python.
  • Proficiency in at least one machine learning framework such as TensorFlow, PyTorch, or MLFlow.
  • Proficiency with AI-native engineering and the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking skills to validate AI-generated suggestions for correctness, performance, security, and maintainability.
  • Experience in research and solving analytical problems.
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (preferred).

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