Staff Machine Learning Engineer, Applied Research

Pinterest • San Francisco, CA

7d • Remote

About The Position

At Pinterest Labs, you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems. Pinterest's mission is to bring everyone the inspiration to create a life they love. AI is a powerful partner that augments creativity and amplifies impact.

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 languages (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

Responsibilities

• Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent
• 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 growth, discovery, ads and search
• Scope and independently solve moderately complex problems

What This Job Offers

• Job Type: Full-time
• Career Level: Senior