Staff Machine Learning Engineer, Applied Research

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 areas such as:

• Natural language processing (NLP) and reasoning capability
• Computer vision for multi-modality
• Graph neural network
• Inclusive and responsible AI
• Reinforcement learning
• User modeling
• Recommender systems

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 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