About the role#
Lila Sciences builds AI systems to accelerate discovery in the physical and life sciences. This role focuses on turning unstructured scientific knowledge, such as literature, patents, and technical reports, into structured data for downstream applications. You will work directly with research scientists and engineers to tackle specific challenges within our data stack.
What you'll do#
- Fine-tune and evaluate language, multimodal, or specialized models for scientific knowledge extraction.
- Build retrieval and RAG pipelines to surface relevant documents, tables, and figures.
- Generate and validate structured datasets derived from scientific literature and patents.
- Build pipelines to process messy, real-world data.
- Run end-to-end pipelines and analyze results against clear evaluation criteria.
- Document your findings and present them to the team.
- Contribute to a publication or open-source project when the work supports it.
- Ship code that flows into production systems.
What you'll need#
- Current enrollment in a Bachelor's, Master's, or PhD program in Computer Science, chemistry, materials science, physics, biology, or chemical engineering.
- A solid foundation in machine learning fundamentals and Python.
- Familiarity with NLP or computer vision concepts.
- Curiosity about scientific data and a willingness to learn quickly in a research setting.
- Clear written and verbal communication skills.
- Experience with multimodal models or document understanding, such as OCR and table or figure extraction.
- Experience with LLM applications, embeddings, or retrieval systems like chunking, reranking, and vector search.
- Experience building evaluation sets or annotation workflows.
- Experience working with messy real-world data.
- An interest in scientific document parsing.
Location & details#
- This role is based on-site in Cambridge, Massachusetts, or San Francisco, California.
- The position is full-time.
- This is a paid co-op position.
About Lila Sciences
Lila Sciences operates as a scientific superintelligence platform and autonomous lab. The company focuses on life, chemistry, and materials science. It applies artificial intelligence to the scientific method to assist with research in human health and sustainability. Founded in 2023, the organization maintains its headquarters in Cambridge, Massachusetts. It currently employs 474 people.
How to get in at Lila Sciences
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