Machine Learning Scientist (LLM)

TL;DR

Machine Learning Scientist (LLM): Leading research on training and serving large language models for scientific applications with an accent on optimizing post-training strategies and designing efficient inference mechanisms. Focus on building scalable evaluations for scientific reasoning and exploring the limits of frontier LLM approaches.

Location: Hybrid and On-Site in Cambridge, MA USA or San Francisco, CA USA

Salary: $176,000–$304,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, pioneering AI applications across the scientific method.

What you will do

• Develop and optimize LLM post-training strategies including SFT, RLHF, and RL with verifiers.
• Design test-time compute and efficient inference mechanisms for complex tool use environments.
• Build scalable evaluations for LLM performance on scientific reasoning.
• Explore the limits of frontier LLM based approaches for scientific tasks and quantifying their failure modes.

Requirements

• Strong background in LLM training and deployment.
• Research experience in scalable compute techniques.
• Publications or contributions to open-source frameworks welcome.

Nice to have

• Experience applying LLMs to scientific or technical data.
• Work in collaborative cross-functional ML environments.

Culture & Benefits

• Bonus potential and generous early equity.
• Commitment to equal employment opportunity.