ML Engineer: Personalization at Scale

Pinterest; Palo Alto (CA); Hybrid; USD 174,000 - 229,000; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer to tackle new ML/AI challenges at scale. You will join multiple ML teams working on recommender systems, search, ads, ranking, NLP, and graph representations to improve personalization and user experience.

You will design, implement, and evaluate data‑driven models, collaborate with AI natives, and contribute to cutting‑edge research while maintaining robust, scalable codebases.

Qualifications

• PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field required.
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc).
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data.
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow).
• Proficiency with AI‑native engineering, including the design of agent‑friendly codebases.
• High degree of autonomy in learning new agent‑first development tools.
• Strong critical thinking when working with AI‑generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI‑assisted approaches based on the problem, context, and constraints.
• Experience in research and in solving analytical problems.
• Strong communicator and team player. Being able to find solutions for open‑ended problems.
• Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
• Interest in research and applying ML to impactful real‑world problems on the Pinterest product

Responsibilities

• Contribute to cutting‑edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data‑driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Design, build, and test models to predict engagement for notifications (push, emails, in‑app notifications)
• Build content recommendation systems to power our push, email, and in‑app notifications
• Work on state‑of‑the‑art large‑scale applied machine learning projects
• Scope and independently solve moderately complex problems

Skills

Machine Learning

Big Data

Java

Python

C++

TensorFlow

PyTorch

MLFlow

NLP

Graph Analysis

Education

PhD in CS/ML/NLP/Statistics/InfoSci

Tools

Hadoop

Spark

Job description

Pinterest is seeking a Machine Learning Engineer to tackle new ML/AI challenges at scale. You will join multiple ML teams working on recommender systems, search, ads, ranking, NLP, and graph representations to improve personalization and user experience.

You will design, implement, and evaluate data‑driven models, collaborate with AI natives, and contribute to cutting‑edge research while maintaining robust, scalable codebases.