Machine Learning Engineers - Open Level

About the position

Lila Sciences is seeking experienced, creative, and talented Machine Learning Engineers across Engineer, Senior Engineer, and Principal Engineer levels to join our team. Title will be determined by merit and experience level. Join our agile team to reimagine the way scientific research is conducted! You'll build infrastructure to train and fine-tune cutting-edge models on scientific data. Collaborate with experts across biology, materials science, and automation to push boundaries. We’re looking for an ML pro skilled in large-scale generative models, data pipelines, and software engineering excellence. Ready to transform science? Let’s talk!

Responsibilities

• Designing data pipelines for machine learning on multi-node GPU clusters.
• Training large language models including domain adaptation and retrieval-augmented generation (RAG) as part of an agentic framework.
• Implementing robust evaluation frameworks, including custom benchmarks, to rigorously test model performance and reliability.
• Integrating ML solutions into production environments.

Requirements

• Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience.
• Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).
• Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters).
• Git/GitHub Experience.
• CI/CD Platform Experience (Jenkins, GitHub Actions, Azure DevOps, etc.).

Nice-to-haves

• Hands-on experience training very large parameter models (e.g., 70B+ parameter LLMs).
• Kubernetes and Docker experience for scalable, reproducible workflows.