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Lila Sciences
Full time
Email

USA
11/09/2026
Report

San Francisco, CA

Responsibilities

Build and maintain ingestion and transformation pipelines for scientific literature, patents, and laboratory data.
Implement structured data extraction, schema design, validation, dataset generation, and quality evaluation workflows.
Build retrieval and RAG pipelines for documents, tables, and figures.
Develop server-side rendering services, APIs, and agentic workflow primitives such as task routing, context management, streaming responses, and tool integration.
Develop platform features end-to-end with automated tests, observability, debugging, and root-cause analysis of production issues.
Improve developer experience through internal tooling, reusable libraries, documentation, technical design discussions, and code reviews.
Collaborate with research scientists and ML engineers, present findings, and potentially contribute to publications or open-source projects.

Requirements

Pursuing 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 consuming REST or GraphQL APIs.
Familiarity with relational databases and SQL.
Ability to work independently, take ownership of tasks, communicate progress clearly, and learn quickly.
Preferred qualifications include experience with NLP, OCR, table or figure extraction, multimodal models, LLM applications, embeddings, retrieval systems, evaluation sets, annotation workflows, scientific document parsing, knowledge graphs, server-side rendering, agentic frameworks, cloud infrastructure, containers, event-driven architectures, message queues, open-source projects, or prior software engineering internships or co-ops.

Lila Sciences

Lila Sciences is building the world's first scientific superintelligence platform and autonomous laboratories tailored for life, chemical, and materials sciences. Our innovative approach applies AI to every aspect of the scientific method, enabling researchers to tackle significant global challen...

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