Staff Machine Learning Engineer, Applied Research

Pinterest Labs is seeking a Staff Machine Learning Engineer to conduct applied research on multi-modal large language models and machine learning systems. The role involves solving challenges in NLP, computer vision, graph neural networks, and recommendation agents, with a focus on search, growth, and discovery. Collaboration with research scientists and engineering teams is central, and the work can be performed remotely from anywhere in the US with occasional in-person meetings.

• Contribute to cutting-edge research in machine learning and LLM applied to Pinterest problems, especially search agents, recommendation agents, reasoning and planning agents.
• 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.

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
• 6+ years of industry experience.
• Experience in machine learning and information retrieval.
• Mastery of at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow).
• Experience in research and solving analytical problems.