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Kubernetes ML Jobs

Orchestrate ML at scale. We aggregate positions requiring Kubernetes expertise for ML training, serving, and infrastructure.

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Market snapshot
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95
jobs
Salary distribution
coverage: 100%
<$100k
0
$100–150k
4
$150–200k
7
$200–250k
7
$250k+
2
median$181k
K8s Jobs
95+
Focus
Infrastructure
Avg Salary
$201k
Updated
Daily

Latest Kubernetes ML Positions

Showing 10 of 95 opportunities

HU

Principal AI Engineer – Agentic AI

Humana
2d ago
Louisville, Kentucky, United StatesFull-time
$172k – 237k/yr
View
AN

Staff+ Software Engineer, Inference Runtime

Anthropic
3d ago
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, NYFull-time
$405k – 485k/yr
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ON

Senior Software Engineer, Email Team

OneSignal
3d ago
United States (US), United States (Remote)Full-timeREMOTE
$170k – 190k/yr
View
UP

Senior Software Engineer

Upwave (YC S12)
3d ago
REMOTE (US), United States (Remote)Full-timeREMOTE
$150k – 175k/yr
View
BR

Senior Application Security Engineer (Remote)

Brex
3d ago
United States, United States (Remote)Full-timeREMOTE
$192k – 240k/yr
View
SP

AI Engineer, Platform Infrastructure, Special Programs

SpaceX
3d ago
Washington, District of Columbia, United StatesFull-time
$125k – 220k/yr
View
US

Sr. Cloud Engineer

US AI
3d ago
North Bethesda, Maryland, United StatesFull-time
$100k – 200k/yr
View
SH

Senior Manager, DevOps Engineering (R5198)

Shield AI
3d ago
Washington, District of Columbia, United StatesFull-time
$180k – 280k/yr
View
DA

Sr Technical Solutions Engineering

Databricks
3d ago
McLean, VirginiaFull-time
$130k – 179k/yr
View
DA

Staff Technical Solution Engineering

Databricks
3d ago
McLean, VirginiaFull-time
$153k – 211k/yr
View
View all 95 kubernetes ml positions

Why Kubernetes for ML?

ML Infrastructure

  • Orchestrate training jobs at scale
  • Kubeflow for ML workflows
  • KServe for model serving
  • GPU scheduling and management
  • Standard for production ML

Platform Engineering

  • Build ML platforms for teams
  • Multi-cloud and hybrid deployments
  • Resource optimization and cost control
  • CI/CD for ML models
  • Path to ML platform leadership

K8s ML Compensation

Kubernetes + ML expertise is highly valuable for platform roles. Senior K8s ML engineers earn $180k-$320k+ at companies scaling AI infrastructure.

Related Infrastructure Roles

MLOpsAWSMachine LearningData EngineerKubeflowDockerPythonRemote

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