Senior Machine Learning Systems Engineer

Senior Machine Learning Systems Engineer at Jobgether scores 95 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (US)seniorFull-time

AI in this role

ml-ops

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Systems Engineer based in United States.

As a Senior Machine Learning Systems Engineer, you will help build and evolve the infrastructure powering large-scale machine learning systems.
You’ll design end-to-end MLOps patterns that improve how models are developed, trained, deployed, and monitored.
The role combines distributed systems, cloud infrastructure, data processing, and machine learning engineering at significant scale.
You’ll contribute to graph machine learning platforms capable of supporting billions of nodes and tens of billions of edges.
You’ll work closely with ML engineers to optimize training performance, GPU utilization, data pipelines, and infrastructure costs.
This is a collaborative, technically demanding environment where scalability, reliability, and developer experience are core priorities.
You’ll have the opportunity to influence platform architecture while solving complex infrastructure challenges across machine learning workflows.

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

Ml Ops

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Ml Ops. 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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