Machine Learning Engineer II, LLM Applied Science

Pinterest is a platform that inspires creativity and innovation. They are seeking a Machine Learning Engineer II to contribute to cutting-edge research in large language models and generative AI, translating research insights into practical solutions and collaborating with engineering teams. Responsibilities Contribute to cutting-edge research in LLMs and generative AI that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data, translate research insights into practical, scalable solutions Curate and generate training data with strong quality controls Build reliable evaluation strategies for LLM systems (offline metrics, human evaluation, redteaming, robustness & safety) Write clean, efficient, and sustainable code, collaborate closely with engineering partners to land research into real systems Develop LLM powered methods to solve modeling and ranking problems across growth, discovery, ads and search Explore and productionalize techniques such as instruction tuning, preference optimization, RAG / tool-calling, and prompt / model optimization Scope and independently solve moderately complex problems Skills MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field 1-2 years of internship or professional experience Strong foundation in modern deep learning for NLP (transformers, representation learning, scaling law) 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 Benefits Equity Company Overview Pinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is