Your Impact at LilaAs a ML Research Scientist - Multimodal Data Extraction, you will advance Lila's vision of scientific superintelligence by developing foundation models that autonomously read, interpret, and structure scientific knowledge across text, images, and experimental data in the physical sciences. Your research will help unify the world's scientific information into machine-understandable form, powering reasoning, prediction, and autonomous discovery across materials science and chemistry.What Youll Be BuildingResearch and developAI systemsthat extract and structure knowledge from diverse scientific sources.Design and fine-tunelarge language, multi-modal and specialized modelsfor factual, interpretable data extraction.Build scalable pipelines forunstructured 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.What You'll Need to SucceedPhD (or equivalent research experience) in Computer Science, Chemistry, Materials Science, or related field.Expertise inmachine learning,NLP, andvision-language modelingusingPyTorchandHugging Face Transformers.Proven ability to train, fine-tune, and evaluateLLMs and multimodal modelsfor 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 (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, Scientific Journals).Bonus Points ForExperience withmultimodal fusion architecturesand document-level understanding.Knowledge ofscientific document parsing(OCR, table extraction, figure-caption linking).Familiarity withknowledge graph constructionor reasoning systems for science.Experience with noisy or heterogeneous real-world scientific data.Collaborative mindset and passion for advancing AI in the physical sciences.About LilaLila Sciences is the world's 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 introducing scientific superintelligence to solve humankinds greatest challenges, 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.aiIf this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.CompositionWe expect the base salary for this role to fall between $176,000-$304,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.We're All InLila 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.Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.A Note to AgenciesLila 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 Science's 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.