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Principal, Machine Learning Engineer at Lila Sciences - ApplyBlast

Principal, Machine Learning Engineer

Lila Sciences

5 months ago

Remote

Full Time

Senior

0 applicants

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About this role

Principal ML Engineer at LILA

Responsibilities

Design, build, and optimize large-scale training pipelines for generative models on biological and chemical data
Own production ML systems end to end: model deployment, serving infrastructure, monitoring, and reliability for models used in LILA's scientific workflows
Architect ML infrastructure that supports rapid iteration across sequence design, structure prediction, and multimodal scientific reasoning workloads
Drive the engineering side of LILA's 'Lab-in-the-Loop' lifecycle: build pipeline models, integrate experimental feedback loops, and ensure model outputs are actionable for downstream scientific workflows
Define and advance ML engineering standards, tooling, and best practices across the AI organization

Skills

Qualifications

Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field10+ years of hands-on experience building and operating production ML systems at scaleDeep expertise in distributed training infrastructure, including experience with large-scale GPU clusters (AWS, GCP, or on-prem)Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practicesProficiency in ML frameworks (PyTorch, JAX, or TensorFlow) with experience optimizing training and inference performance

About Lila Sciences

lila.ai

Company Size

1-10 employees

View Profile

Lila Sciences is building a scientific superintelligence platform and autonomous labs for life, chemical, and materials sciences. They place AI at the center of discovery—combining advanced models, autonomous workflows, and lab automation to rapidly generate, execute, and validate experiments at scale. Their mission is to expand human knowledge and accelerate breakthroughs to tackle some of humankind’s greatest challenges.