Multimodal ML Research Scientist — Scientific Data (Materials) Equity

Lila Sciences; Cambridge (MA); On-site; USD 176,000 - 304,000; Full time

Job summary

A pioneering scientific AI platform is looking for an ML Research Scientist I/II to advance its vision of scientific superintelligence. You will develop models that read and structure scientific knowledge from various data forms. The ideal candidate holds a PhD in a relevant field and has expertise in machine learning and multimodal modeling. This role offers a competitive salary of $176,000–$304,000 USD per year, along with bonus potential.

Qualifications

• PhD (or equivalent research experience) in Computer Science, Chemistry, Materials Science, or a related field.
• Expertise in machine learning, NLP, and vision-language modeling using PyTorch and Hugging Face Transformers.
• Proven ability to train, fine-tune, and evaluate LLMs and multimodal models for scientific data extraction.
• Strong understanding of data structures and representations used in the physical sciences.
• Demonstrated research impact through publications, preprints, or open-source work.

Responsibilities

• Research and develop AI systems that extract and structure knowledge from diverse scientific sources.
• Design and fine-tune large language, multimodal and specialized models for factual, interpretable data extraction.
• Build scalable pipelines for unstructured and heterogeneous scientific data, integrating text, tables, and visuals.
• Collaborate with domain experts to align extracted data with real-world discovery workflows.
• Publish research that advances the state of the art in multimodal understanding and AI-driven knowledge extraction.

Skills

Machine learning

NLP

Vision-language modeling

PyTorch

Hugging Face Transformers

Education

PhD in Computer Science, Chemistry, Materials Science, or related field

Job description

A pioneering scientific AI platform is looking for an ML Research Scientist I/II to advance its vision of scientific superintelligence. You will develop models that read and structure scientific knowledge from various data forms. The ideal candidate holds a PhD in a relevant field and has expertise in machine learning and multimodal modeling. This role offers a competitive salary of $176,000–$304,000 USD per year, along with bonus potential.