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# Master's University Grad Machine Learning Engineer 2027

- **Company:** Pinterest
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Salary:** $146,000.0 - $196,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, Big Data, C++ (Programming Language), Encodings, Programming Tools, Apache Hadoop, Information Retrieval, Information Sciences, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, Pytorch, Apache Spark, Information Technology, Machine Learning Operations
- **Published:** October 8, 2026
- **Apply:** https://www.juju.com/job/21_01a0fba2-e8ad-7f65-bae2-fda9e78941fc

## About the Role

* Master's 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.

## Description

* 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