• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Pytorch, Tensorflow, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems
• 8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
• 3+ years experience leading cross-team engineering efforts that improves user experience in products
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Desirable

• You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics
• You will also have the opportunity to work on a variety of exciting projects in the following areas:
• Representation learning
• Recommender systems
• Graph neural network
• Natural language processing (NLP)
• Inclusive AI
• Reinforcement learning
• User modeling
• You will also have the opportunity to mentor junior researchers and collaborate with external researchers on cutting-edge projects
• Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search