Staff Machine Learning Engineer, Applied Research

Pinterest is seeking a Staff Machine Learning Engineer to join Pinterest Labs, working on cutting-edge research in machine learning and multi-modal large language models. The role involves conducting research applicable across Pinterest engineering teams, with focus areas including natural language processing (NLP), computer vision for multi-modality, graph neural networks, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems.

• Contribute to cutting-edge research in machine learning and LLMs applied to Pinterest problems, especially search, recommendation, and reason/planning agents.
• Collect, analyze, and synthesize findings from data to build intelligent, data-driven models.
• Write clean, efficient, and sustainable code.
• Use machine learning, NLP, 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).
• Research experience and strong analytical problem-solving skills.
• Cross-functional collaborator and strong communicator.

Base salary range: $189,308—$389,753 USD. The position is also eligible for equity.

Apply via the Pinterest careers page for this role.