Lila Sciences
Machine Learning Scientist, LLM Training & Inference Research
Lila Sciences, Cambridge, Massachusetts, us, 02140
Overview
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, we encourage you to apply. Youll lead research on how we train and serve LLMs for scientific applications. 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. Qualifications
Strong background in LLM training and deployment. Research experience in scalable compute techniques. Publications or contributions to open-source frameworks welcome. Experience applying LLMs to scientific or technical data. Work in collaborative cross-functional ML environments. Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Sciences internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. #J-18808-Ljbffr
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, we encourage you to apply. Youll lead research on how we train and serve LLMs for scientific applications. 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. Qualifications
Strong background in LLM training and deployment. Research experience in scalable compute techniques. Publications or contributions to open-source frameworks welcome. Experience applying LLMs to scientific or technical data. Work in collaborative cross-functional ML environments. Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Sciences internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. #J-18808-Ljbffr