Machine Learning Intern - Remote/Hybrid AI Impact

Pinterest; Seattle (WA); Hybrid; USD 112,000 - 134,000; Full time

Benefits offered by this job

Paid internship (12 weeks)

Mentorship

Job summary

Pinterest is offering a Machine Learning Internship where you will join our engineering teams to tackle scalable AI and ML challenges. You’ll work on growth and personalization problems, contribute to large-scale recommendation systems, and gain hands-on experience with production ML pipelines.

Internships run for 12 weeks with fixed start dates in May or June, and can be remote or hybrid in San Francisco, Palo Alto, New York, or Seattle.

Qualifications

• Enrolled in a Master’s program in CS, ML, NLP, Statistics, Information Sciences or related field.
• Strong background in machine learning including ranking, computer vision, NLP, content recommendations and embeddings.
• Proficiency with at least one systems language (Java, C++, Python) and one ML framework (TensorFlow, PyTorch, MLFlow).
• Able to design agent-first codebases and reason about AI-assisted approaches.

Responsibilities

• Lead your own project from start to finish on ML/AI problems applicable to Pinterest.
• Gain hands-on experience with production ML systems, including data engineering, training, inference and product integration.
• Prototype and experiment with frontier AI tools and agents to accelerate engineering efforts.
• Validate AI-generated outputs through testing, code review, and reasoning about correctness, performance, security and maintainability.
• Communicate technical context clearly and summarize documentation for others.

Skills

Machine Learning

Java

Python

NLP

Problem solving

Education

Master's degree in CS/ML

Tools

TensorFlow

PyTorch

MLFlow

Job description

Pinterest is offering a Machine Learning Internship where you will join our engineering teams to tackle scalable AI and ML challenges. You’ll work on growth and personalization problems, contribute to large-scale recommendation systems, and gain hands-on experience with production ML pipelines.

Internships run for 12 weeks with fixed start dates in May or June, and can be remote or hybrid in San Francisco, Palo Alto, New York, or Seattle.