San Jose, CA · On-site
$122K - $168K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
San Jose, CA · On-site
$122K - $168K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Santa Rosa, CA · On-site
$114K - $156K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Santa Rosa, CA · On-site
$114K - $156K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Hayward, CA · On-site
$119K - $164K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Hayward, CA · On-site
$119K - $164K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Sunnyvale, CA · On-site
$124K - $170K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Sunnyvale, CA · On-site
$124K - $170K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
San Francisco, CA · On-site
$123K - $169K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
San Francisco, CA · On-site
$123K - $169K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Alameda, CA · On-site
$121K - $166K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Alameda, CA · On-site
$121K - $166K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Mundelein, IL · On-site
$106K - $146K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Mundelein, IL · On-site
$106K - $146K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Santa Clara, CA · On-site
$121K - $167K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Santa Clara, CA · On-site
$121K - $167K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Sonoma, CA · On-site
$117K - $160K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Sonoma, CA · On-site
$117K - $160K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
San Mateo, CA · On-site
$119K - $163K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
San Mateo, CA · On-site
$119K - $163K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Fremont, CA · On-site
$114K - $157K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Fremont, CA · On-site
$114K - $157K/yr
Build production forecasting models across messy, intermittent and seasonal demand, including cold ... Use MLflow, Kubeflow or equivalent MLOps tooling * Contribute outside the model layer when needed ...
New
Architect ML serving infrastructure that gracefully handles traffic surges, seasonal spikes, and ... Hands-on mastery of ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker, with strong ...
Architect ML serving infrastructure that gracefully handles traffic surges, seasonal spikes, and ... Hands-on mastery of ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker, with strong ...
... and seasonal spikes without degradation. • Manage Compute Governance & Costs: Direct the ... Kubeflow, or SageMaker, and a strong opinion on how to integrate them into a cohesive developer ...
... and seasonal spikes without degradation. • Manage Compute Governance & Costs: Direct the ... Kubeflow, or SageMaker, and a strong opinion on how to integrate them into a cohesive developer ...
... and seasonal spikes without degradation. * Manage Compute Governance & Costs: Direct the ... Hands-on experience with ML frameworks and tooling, such as PyTorch, TensorFlow, Kubeflow, or ...
... and seasonal spikes without degradation. * Manage Compute Governance & Costs: Direct the ... Hands-on experience with ML frameworks and tooling, such as PyTorch, TensorFlow, Kubeflow, or ...
$5.77 - $8.85
1% of jobs
$8.85 - $11.93
2% of jobs
$14.11 is the 25th percentile. Wages below this are outliers.
$11.93 - $15.01
31% of jobs
The median wage is $16.14 / hr.
$15.01 - $18.09
44% of jobs
$18.09 - $21.18
10% of jobs
$21.18 - $24.26
3% of jobs
$24.26 - $27.34
3% of jobs
$27.34 - $30.42
3% of jobs
$30.42 - $33.50
2% of jobs
$33.50 - $36.58
1% of jobs
$36.58 - $39.66
0% of jobs
$5
$18
$39
The most popular types of Kubeflow jobs are:
States with the most job openings for Seasonal Kubeflow jobs include:
$122K - $168K/yr
Other
This job post has expired today. Applications are no longer accepted.
San Francisco | On-site | $150k–$275k + equity
We are working with a fast-growing AI startup building the operating brain for the supply chain. They’ve grown 10x in the last year with a small engineering team and are now building out the model layer underneath their production AI systems.
They’re looking for their first dedicated ML Engineer to own models end-to-end, from raw data through to production. You’ll work with years of real-world operational data across 500k+ SKUs, building systems that directly impact how the business operates.
This is not a research role, and it’s not an LLM-wrapper role. They’re looking for someone who can build, deploy and operate production ML systems - and take ownership when reality changes.
What you'll own
There are no handoffs. You’ll build the model, put it into production, monitor it and fix it when reality changes.
What we're looking for
They’re looking for someone who can talk about what happened after the model shipped - when it degraded, how you detected it, what it got wrong and what you changed.
