Lead Machine Learning Engineer - ML Infrastructure

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Machine Learning Engineer - ML Infrastructure based in the United States.
This role serves as the technical anchor for machine learning infrastructure supporting large-scale AI products and applications.
You will own the architecture and evolution of an end-to-end ML platform spanning training, experimentation, inference, and edge deployment.
The position connects applied machine learning, data platform, security, firmware, and infrastructure teams around shared technical direction.
You will make high-impact architectural decisions that influence multiple product teams and production systems at significant scale.
The role combines hands-on engineering with technical leadership, reliability, security, developer experience, and operational ownership.
You will help deliver ML-powered capabilities from initial design through production deployment while balancing performance, latency, cost, and research velocity.
This is a senior technical leadership opportunity where your decisions can directly influence real-world safety, efficiency, and customer outcomes.

Employment type
Full-time

Work arrangement
Yes