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