Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery
Core
Design and scale large machine learning systems, specifically internal reasoning Large Language Models (LLMs), to enable biomolecular design and other drug discovery tasks.
Role type
Senior IC machine learning scientist (scientific reasoning & LLMs)
Builds
Scalable distributed ML systems and reasoning LLMs for drug discovery
Domain
Biopharmaceuticals / AI for Drug Discovery
Deliverable
production ML models
Required skills
Large-scale distributed ML system design, LLM development and post-training, scientific reasoning, high-performance computing, software engineering, hypothesis testing, algorithm implementation
Preferred skills
Molecular modality experience (protein sequences, chemical graphs), open-source ML contributions
Technologies
Large Language Models, distributed machine learning systems, high-performance computing clusters
Responsibilities
Design and implement large-scale distributed ML systems; Develop strategies to improve model performance on scientific reasoning tasks; Translate biological/chemical knowledge into ML objectives and evaluation criteria; Design evaluation methodologies and benchmarks; Collaborate with researchers to translate prototypes into production-ready systems
Seniority
Senior, hands-on IC
