Senior Machine Learning Research Scientist, Data and ML Innovation

What you'll do

• Design robust experiments and methods to understand the internal mechanics of foundation models.
• Implement research methods and designs into functional experiment pipelines.
• Analyze and interpret experimental results to derive actionable insights.
• Write research papers for publication in top-tier machine learning conferences and journals.
• Apply research findings to solve practical, applied problems within scientific domains.
• Define research projects and develop novel methodologies for foundation model investigation.
• Communicate research results and findings to various teams across the company.

What we're looking for

• PhD in computer science, statistics, physics, chemistry, electrical engineering, operations research, or other hard sciences.
• 3 publications in top-tier machine learning, statistics, or natural language processing venues.
• Deep knowledge of foundation models and experience training and applying them to complex datasets.
• Experience designing experiments to understand how foundation models work.
• Knowledge of Bayesian statistical methods and their use for scientific inference.
• Experience with large language models, including training and using tools like vllm for inference (preferred).
• Proficiency implementing ML models and experiments in Python and Pytorch/Jax (preferred).
• Familiarity with interpretability methods like activation patching or causal tracing (preferred).