Contribute to cutting-edge research in LLMs and generative AI.
Collect, analyze and synthesize data insights and translate into scalable solutions.
Curate and generate training data with strong quality controls.
Build evaluation strategies for LLMs (offline metrics, human eval, safety).
Write clean, efficient, and sustainable code; collaborate with engineering partners.
Develop LLM-powered methods for modeling/ranking across growth, discovery, ads, and search.

🎯 Requirements

MS/PhD in Computer Science, ML, NLP, Statistics or related field
1-2 years of internship or professional experience
Strong foundation in modern NLP DL: transformers, representation learning, scaling laws
Mastery of at least one systems language (Java/C++/Python) or ML framework (TensorFlow, PyTorch, MLFlow)
Experience in research and solving analytical problems
Cross-functional collaborator with strong communication

🎁 Benefits

Base salary range: $138,905 – $285,982 USD
Equity eligible

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