Staff Machine Learning Engineer, Applied Science

Pinterest - San Francisco, CA

Full-time - Senior

San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Staff Machine Learning Engineer in Applied Science at Pinterest will engage in cutting-edge research in machine learning and artificial intelligence, contributing to solutions that enhance user experience on the platform. This role involves collaboration with a world-class team to tackle complex problems in various domains such as computer vision, natural language processing, and recommender systems, while also mentoring and conducting research that can be applied across engineering teams.

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 models
• 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
• Scope and independently solve moderately complex problems

Requirements

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• 6+ years of industry experience
• Experience in machine learning/information retrieval
• Mastery of at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Cross-functional collaborator and strong communicator
• Comfortable solving ambiguous problems and adapting to a dynamic environment

Benefits

• Equity eligibility
• Base salary range of $200,117—$411,650 USD
• Flexible work model (PinFlex)