Master's University Grad Machine Learning Engineer 2027
About the Role
- This is a general posting for multiple Machine Learning Engineer roles open across various ML teams at Pinterest.
- You will have the opportunity to work on problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, and more.
- This role is for Master's University Graduates for the 2027 cohort in the USA.
What You’ll Do
- 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 models.
- 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 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.
Requirements & Tech Stack
- 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 real-time systems that process stream data.
- Mastery of at least one systems language (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.
- Ability to find solutions for open-ended problems.
In-Office Requirement Statement
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.