Principal, Machine Learning Engineer
Lila Sciences5 months ago
Base Salary
$252k - $374k/yr
Responsibilities
- Design, build, and optimize large-scale generative-model training pipelines on biological and chemical data, including distributed training across GPU clusters.
- Own production ML systems end to end, including model deployment, serving infrastructure, monitoring, and reliability.
- Architect ML infrastructure for sequence design, structure prediction, and multimodal scientific reasoning workloads.
- Build pipeline models, integrate experimental feedback loops, and make model outputs actionable for downstream scientific workflows.
- Define and advance ML engineering standards, tooling, and best practices across the AI organization.
- Collaborate with AI scientists to convert research prototypes into robust, scalable production systems.
Requirements
- Master’s degree or higher in Computer Science, Machine Learning, or a related quantitative field, or a bachelor’s degree with equivalent professional experience.
- 10+ years of hands-on experience building and operating production ML systems at scale.
- Deep expertise in distributed training infrastructure and large-scale GPU clusters on AWS, GCP, or on-premises environments.
- Strong software engineering fundamentals, including system design, production-grade code, CI/CD, observability, and reliability practices.
- Proficiency in PyTorch, JAX, or TensorFlow, with experience optimizing training and inference performance.
- Ability to independently drive technical direction for ML infrastructure from architecture through implementation.
- Experience collaborating with research scientists and translating ML methodology into engineering execution.
- Bonus: experience with generative-model training or inference infrastructure for biological, molecular, or scientific data.
- Bonus: experience with agentic frameworks, active learning loops, closed-loop experimental workflows, open-source ML infrastructure, life science domains, or scientific model evaluation frameworks.
Benefits
- Medical, dental, and vision coverage for full-time U.S. employees.
- Employer-paid life and disability insurance.
- Flexible time off, company-wide holidays, and paid parental leave.
- Educational assistance program and commuter benefits, including bike-share memberships for office-based employees.
- Company-subsidized lunch program.
- International employees receive regionally tailored benefits.
- Full-time position.
Tech Stack
Categories
About Lila Sciences
Lila Sciences builds an AI-driven research platform and autonomous lab systems for life science, chemistry, and materials R&D teams. Its products combine large AI models with robotic instruments to plan, run, and analyze experiments, integrating into customer-specific scientific workflows. The privately held company serves pharma, materials, and energy organizations and is venture-backed, including a Series A financing in 2025.