Machine Learning Scientist I/II, Scientific Reasoning
As a Machine Learning Scientist focused on Scientific Reasoning at Lila Sciences, you will be at the forefront of developing AI systems capable of emulating scientific thought processes. This role involves designing innovative frameworks that extend the capabilities of large language models (LLMs) and integrating these advancements into Lila's platforms. Your work will bridge theoretical research and practical machine learning engineering, driving breakthroughs in scientific hypothesis generation, testing, deployment, and optimization.
In this position, you will design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time computation. You will explore and implement methods for in-context learning, self-reflection, and adaptive reasoning within scientific discovery workflows. Additionally, you will build scalable model prototypes to address complex scientific problems and collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches.
The ideal candidate will possess a PhD (preferred) or equivalent research or industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science, or related fields. Strong programming skills in Python, with deep expertise in LLM frameworks such as PyTorch, HuggingFace Transformers, LangChain, and LlamaIndex, are essential. Expertise in LLM reasoning methods, including in-context learning, test-time computation, chain-of-thought, or tool-augmented reasoning, is required. The ability to balance theoretical research with practical machine learning engineering to deliver scalable solutions is crucial.
Lila Sciences offers a competitive compensation package, including a base salary ranging from $176,000 to $304,000 USD, along with bonus potential and generous early-stage equity. Full-time U.S. employees receive comprehensive benefits, including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company-wide holidays; paid parental leave; an educational assistance program; commuter benefits; and a company-subsidized lunch program.
Lila Sciences is committed to building Scientific Superintelligence™ to address humanity's most pressing challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments to autonomously execute the entire scientific method, accelerating discovery across medicine, materials, and energy. Guided by core values of truth, trust, curiosity, grit, and velocity, Lila Sciences fosters an environment that encourages innovation and tackles problems of historic importance.