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ML Platform Engineer

Weights & Biases · San Francisco, CA / Remote · $170k - $280k
full-time mid Posted 2 months ago
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python mlops pytorch experiment-tracking model-serving kubernetes

About this role

Build the tools ML teams use to train, evaluate, and deploy models. Experiment tracking, model registry, and deployment pipelines. W&B is the standard platform for ML teams. Your work impacts how AI gets built.

Requirements

3+ years ML platform or MLOps experience. Python required. Experience with distributed training, model serving, or experiment tracking.

Job Details

Company
Weights & Biases
Location
San Francisco, CA / Remote
Workplace
Remote
Type
full-time
Level
mid
Salary
$170k - $280k
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