Lead Machine Learning Engineer - ML Infrastructure

Lead Machine Learning Engineer - ML Infrastructure at Jobgether scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (US)leadFull-time

AI in this role

Lead Machine Learning Engineer to own architecture and infrastructure supporting large-scale AI products.

pythonkubernetesdocker

machine-learningmlopsinfrastructurearchitecturedistributed-systems

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine LearningMlopsInfrastructureArchitectureDistributed SystemsPythonKubernetesDocker

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where architecture was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine Learning, Mlops, Infrastructure, Architecture, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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