AI/ML Infrastructure Engineer

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking an AI/ML Infrastructure Engineer to own and evolve their scaled computational infrastructure, ensuring security, uptime, and cost efficiency while optimizing models for faster iterations.

Responsibilities:

• Own and develop Manifold's EKS-based compute platform to meet the shifting needs of our computational sub-teams - mBER development and production runs, LLM fine-tuning, novel binder design research, and more
• Monitor AWS compute costs and implement optimizations that reduce spend while supporting continued growth
• Run and optimize production models (mBER, folding models, and other generative models) for fast iteration and a consistent library design cycle
• Improve security, uptime, and cross-region access across the compute stack, hardening infrastructure against external threats
• Establish CI/CD practices (likely GitOps) and clear, comprehensive cost-tracking
• Build and maintain platforms for agentic automation and custom internal agentic workflows
• Help define the data handoff from AI generation to Snowflake + Benchling and connect to experimental readouts