AI/ML Infrastructure Engineer

United States·Bostonmid

OtherMl Infrastructure Engineer

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Quick Summary

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OtherMl Infrastructure Engineer

Responsibilities

~1 min read

→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

Requirements

~1 min read

Strong, ML-specific coding skills in PyTorch and/or JAX, with the ability to quickly prototype, test, and debug
Strong familiarity with AWS, especially EC2, EKS, networking, and storage solutions
Experience optimizing GPU-heavy computational workloads
Strong security practices and experience hardening web applications and infrastructure against external attackers
Deep integration with agentic AI development tools
Experience building and working with relational databases
Ability to move fast - standing up prototypes and iterating in production with a diverse user base
Strong data science and analysis skills
Interest in bio-specific ML, with a background in physical or natural sciences

Track record of advanced automation using agentic AI tooling
Experience with transformer architectures or graph neural networks for molecular data
Published research in ML, computational biology, or protein design
Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
Previous biotech/pharma industry experience

You want to own the compute backbone that powers an entire AI-driven drug discovery platform
You like working close to the models - not just keeping infrastructure alive, but making it faster and cheaper so scientists can move
You're energized by agentic AI tooling and want to build the platforms that let a team deploy it at scale
You have rich ML infrastructure / MLOps experience and are excited to bring it into biotech

We value different experiences and ways of thinking and believe the most talented teams are built by bringing together people of diverse cultures, genders, and backgrounds.