Master's University Grad Machine Learning Engineer 2027 (USA)

About Pinterest

With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc.

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 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

What we're looking for

• 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; able to find solutions for open-ended problems