About the role#
Lila Sciences builds AI systems to accelerate discovery in the physical and life sciences. The Platform Engineering team manages the infrastructure and developer services that power our AI Science Factory. This co-op role focuses on two tracks: the Data Platform or Agentic Server-Side Rendering. You will work alongside research scientists and ML engineers to ship production code and support real scientific experiments.
What you'll do#
Data Platform Track
- Build and maintain ingestion and transformation pipelines for scientific literature, patents, and lab data.
- Implement data extraction workflows, including schema design, validation, and quality evaluation.
- Integrate retrieval and RAG pipelines to surface documents, tables, and figures.
- Generate structured datasets and analyze results against evaluation criteria.
- Collaborate with scientists to turn domain requirements into data models.
- Document findings and contribute to publications or open-source projects.
Agentic SSR Track
- Build server-side rendering services and APIs that allow AI agents to deliver dynamic scientific interfaces.
- Implement agentic workflow primitives such as task routing, context management, streaming, and tool integration.
- Develop platform features from schema design to API surface and automated testing.
- Instrument code for observability and participate in debugging production issues.
- Improve developer experience through internal tooling, libraries, and documentation.
- Contribute to technical design discussions and code reviews.
What you'll need#
- Current pursuit of a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field.
- Strong foundation in software engineering fundamentals including data structures, algorithms, and system design.
- Proficiency in Python and/or TypeScript.
- Experience building or using REST or GraphQL APIs.
- Familiarity with relational databases and SQL.
- Ability to work independently, take ownership, and communicate progress.
- Curiosity about scientific data or AI-driven systems.
Bonus points for:
- Experience with NLP, document understanding, or multimodal models.
- Knowledge of LLM applications, embeddings, or retrieval systems.
- Experience building evaluation sets or working with messy real-world data.
- Interest in scientific document parsing or knowledge graph construction.
- Experience with server-side rendering frameworks like Next.js or Remix.
- Exposure to LLM APIs, agentic frameworks, or AI-assisted tooling.
- Experience with cloud infrastructure or containerized environments.
- Familiarity with event-driven architectures or message queues.
- Contributions to open-source projects or prior software engineering internships.
Location & details#
- Location: San Francisco, California, United States.
- Modality: On-site.
- Term: Rolling.
- This is a paid, full-time 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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