# ML Engineer, Applied AI at Lila Sciences

- Company: Lila Sciences
- What the company does: LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
- Company website: https://www.lila.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Cambridge, MA USA; San Francisco, CA USA
- Work setup: On-site
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4377936009
- Page: https://www.1752.vc/careers/jobs/lila-sciences-ml-engineer-applied-ai/

## About the role

We are growing our Applied AI org and seeking Machine Learning Engineers with expertise in model training, evaluation, and production-oriented ML systems. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

## What they're looking for

- Experience building, training, adapting, or evaluating machine learning models
- Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow
- Experience designing experiments, evaluation metrics, or test sets for model performance
- Ability to debug model behavior using data, traces, logs, and qualitative feedback
- Experience working across research and engineering teams to move ML capabilities into usable systems
- Familiarity with large language models, multi-modal models, or agentic AI systems

Tags: AI