Formulate an ML problem from product requirements

Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems

Create and productionize cutting-edge research prototypes for knowledge work at scale

Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts

[Optionally] Mentor ML interns and publish your research findings with the community

PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field

Strong background in deep learning, large language models, and NLP techniques

A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)

Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills

Applied Scientist (ML)

Responsibilities