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

Requirements

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

deep learningnatural language processingtransformersrepresentation learningscaling lawJavaC++PythonTensorflowPytorch

cross-functional collaborationstrong communicationproblem-solvingadaptability

MSPhD