ML Engineer – Personalization & AI, Equity Options

Pinterest; San Francisco (CA); Hybrid; USD 174,000 - 229,000; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer in San Francisco to advance large-scale recommender systems, search, and ranking models. You will collaborate with ML teams to push the boundaries of AI-powered experiences on the platform.

Applicants should have a PhD and strong background in ML/NLP, with experience in big data tools and modern ML frameworks, and a passion for building practical AI that users love.

Qualifications

• PhD required in CS/ML/NLP or related field.
• Experience with ML research and model deployment.
• Strong data analysis and modeling skills.

Responsibilities

• Contribute to cutting-edge ML research applicable to Pinterest problems.
• Design and implement scalable models for recommendations and ranking.
• Collaborate with teams to deploy data-driven ML solutions.
• Write clean, efficient code and validate models for accuracy, performance, and robustness.

Skills

Machine learning

NLP

Graph analysis

Java

C++

Python

Big data

Education

PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Tools

Hadoop

Spark

TensorFlow

PyTorch

MLFlow

Job description

Pinterest is seeking a Machine Learning Engineer in San Francisco to advance large-scale recommender systems, search, and ranking models. You will collaborate with ML teams to push the boundaries of AI-powered experiences on the platform.

Applicants should have a PhD and strong background in ML/NLP, with experience in big data tools and modern ML frameworks, and a passion for building practical AI that users love.