Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. The Platform Engineering team owns the core infrastructure and developer-facing services that power Lila's AI Science FactoryTM — including APIs, data pipelines, and the agentic systems that orchestrate scientific workflows at scale.

This co-op has two focus tracks. Candidates may be matched to one or both based on interest and fit:

Track 1 — Data Platform: Build pipelines and services that structure scientific knowledge (literature, patents, lab data) into signals that power Lila's AI models and applications.

Track 2 — Agentic SSR (AI and Server-Side Rendering): Build the server-rendered, agentic layer of the Lila Platform — the infrastructure that enables AI agents to compose and serve dynamic scientific interfaces at runtime.

In either track, you will ship production code, work alongside research scientists and ML engineers, and contribute to a platform that runs real scientific experiments.

What You'll Be Building

Data Platform Track

Build and maintain ingestion and transformation pipelines for scientific literature, patents, and lab-generated data

Implement structured data extraction workflows, including schema design, validation, and quality evaluation

Integrate retrieval and RAG pipelines that surface relevant documents, tables, and figures to downstream Lila applications

Generate and validate structured datasets; run end-to-end pipelines and analyze results against clear evaluation criteria

Collaborate with research scientists to translate scientific domain requirements into robust data models

Co-op, Software, Applied AI Platform Engineer

Responsibilities

Qualification

Required

Preferred

Company

Lila Sciences

More roles at Lila Sciences