Lila Sciences · 2 months ago
Machine Learning Scientist I/II, LLM Training & Inference Research
Cambridge, MA USA
Full-time
Onsite
Entry, Mid Level
$176K/yr - $304K/yrLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. As a Machine Learning Scientist in LLM Training & Inference Research, you will lead research on how we train and serve large language models for scientific applications.
Artificial Intelligence (AI)Life ScienceSoftware
Responsibilities
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
Qualification
Required
Strong background in LLM training and deployment
Research experience in scalable compute techniques
Publications or contributions to open-source frameworks welcome
Preferred
Experience applying LLMs to scientific or technical data
Work in collaborative cross-functional ML environments
Benefits
Bonus potential
Generous early equity
Company
Lila Sciences
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
Founded in 2023
201-500 employees
H1B Sponsorship
Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
Funding
Current Stage
Growth StageTotal Funding
$550MKey Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M
Recent News
2026-01-03
2025-12-17
MIT Technology Review
2025-12-15
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