Machine Learning Scientist I/II, Scientific Reasoning jobs in United States
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Lila Sciences · 2 months ago

Machine Learning Scientist I/II, Scientific Reasoning

positionCambridge, MA USA
timeFull-time
remoteOnsite
seniorityMid, Senior Level
money$176K/yr - $304K/yr

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. As a Machine Learning Scientist focused on Scientific Reasoning, you will design frameworks for AI systems capable of scientific reasoning and collaborate with teams to integrate domain knowledge into these systems.

Artificial Intelligence (AI)Life ScienceSoftware
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H1B Sponsor Likelynote

Responsibilities

Design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time compute
Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows
Build scalable model prototypes that can be deployed to solve frontier scientific problems
Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches

Qualification

PythonLLM frameworksScientific reasoningCausal reasoningSymbolic AIProbabilistic programmingMultimodal reasoningScientific discovery pipelinesPublications in ML/AI conferences

Required

Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex, and related toolkits)
Expertise in LLM reasoning methods: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning
Ability to balance theoretical research with practical ML engineering to deliver scalable solutions

Preferred

PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields
Research experience in causal reasoning, symbolic AI, or probabilistic programming
Contributions to open-source LLM reasoning frameworks
Familiarity with scientific discovery pipelines in chemistry, biology, or materials science
Experience with multimodal reasoning (e.g., combining text, image, and experimental data)
Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)

Benefits

Bonus potential
Generous early equity

Company

Lila Sciences

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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.
dateFounded in 2023
location
Cambridge, Massachusetts, USA
people-size201-500 employees
web-link
https://www.lila.ai

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 Stage
Total Funding
$550M
Key Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M

Recent News

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Company data provided by crunchbase