ML Infrastructure Engineer

VantAI is at the forefront of AI-enabled drug discovery, combining cutting-edge machine learning with deep systems biology expertise. We're seeking a talented ML Infrastructure Engineer to join our core application team, focusing on developing and maintaining our sophisticated ML infrastructure and scientific workflows.

The role involves working with a diverse tech stack including Python, Go, Rust, and React, all running in Docker/Kubernetes on GCP. You'll be responsible for creating scalable ML infrastructure for model registry, training, and inference, while also developing scientific workflows and cheminformatics tools. This position offers an unique opportunity to work at the intersection of software engineering and drug discovery, utilizing advanced ML techniques to solve complex biological and chemical problems.

As an ML Infrastructure Engineer, you'll be instrumental in building and maintaining the systems that power our AI-driven drug discovery platform. You'll work on challenging projects ranging from large-scale virtual screening to developing scalable chemical databases, all while collaborating with a team of experts in biology, chemistry, and computational science.

The ideal candidate combines strong software engineering principles with ML infrastructure expertise, showing capability in container orchestration, distributed systems, and cloud-native architectures. While specific domain knowledge in drug discovery is desired, we value versatility and eagerness to learn more than specific experience.

This role offers competitive compensation, the flexibility of remote work, and the opportunity to make a significant impact in the field of AI-driven drug discovery. You'll be part of a rapidly growing company that's pushing the boundaries of what's possible in computational biology and drug development, working on projects that could potentially revolutionize how we discover and develop new medicines.