Software Engineering Intern, App, Full Stack

Your Impact at Lila

Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab — accelerating breakthroughs across life, chemistry, and materials science. We're looking for a Software Engineering Intern to join our App team and help build the interfaces, services, and AI-powered experiences that put this platform in the hands of scientists.

This isn't a "shadow and observe" internship. You'll ship real code, work alongside ML researchers and scientists, and have the autonomy to tackle meaningful problems. If you've been hacking on side projects with LLMs, building AI agents, or experimenting with new tools on nights and weekends — this is the place to do it for real.

What You'll Be Building

• Design and build features across our full stack (React, TypeScript, Python, FastAPI)
• Prototype and integrate AI-powered workflows — think LLM-driven UIs, agentic tooling, and intelligent data pipelines
• Collaborate directly with ML researchers and scientists to understand their workflows and translate them into software
• Deploy and iterate on production services using cloud infrastructure (AWS, Kubernetes)
• Participate in code reviews, architecture discussions, and sprints with the App team

What You’ll Need to Succeed

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Solid fundamentals in at least one of: Python, TypeScript, or JavaScript
• Familiarity with web development concepts (frontend frameworks, REST APIs, databases)
• Comfort working in a fast-paced, ambiguous environment where you'll figure things out as you go
• Strong communication skills — you can explain what you built and why it matters

Bonus Points For

• You hack with AI and can prove it. Show us your projects — a ChatGPT wrapper that actually solves a real problem, an agent that automates something tedious, a RAG pipeline you built for fun, a fine-tuned model, a creative use of tool-calling. Share your GitHub, a demo video, a blog post, or a deployed app. We want to see what you build when nobody tells you what to build.
• Experience with React, TypeScript, or modern frontend frameworks
• Exposure to Python web frameworks (FastAPI, Django, Flask)
• Familiarity with cloud platforms (AWS, GCP) or containerization (Docker, Kubernetes)
• Experience with scientific data, lab workflows, or life sciences is a bonus
• Contributions to open-source projects

About Lila

Lila 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 humankind's 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.ai

If 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.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless 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 Agencies

Lila 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.