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Machine Learning Engineer – Platform
Artera.netMachine Learning Engineer working on AI Platform team developing scalable pipelines for cancer treatment. Collaborating on AI model optimization and infrastructure for production environments.
Posted 6/12/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $180,000 per yearWebsite
Tech Stack
Tools & technologiesAWSDockerKubernetesNode.jsPythonPyTorchRayTensorflowTerraform
About the role
Key responsibilities & impact- Work on the AI Platform team focusing on scalable and efficient pipelines for model training, evaluation, and data processing
- Build and evolve core libraries used by AI scientists to develop, launch, and monitor AI products
- Optimize GPU and CPU efficiency and data throughput of large-scale foundation models
- Ensure Artera’s observability infrastructure provides a clear picture of model performance optimization
Requirements
What you’ll need- 5+ years of industry software engineering experience
- 4+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python
- 3+ years of industry experience building with AWS, Docker, and Kubernetes
- 1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines
- Experience in using ML orchestration frameworks such as Flyte, Ray, Kubeflow, Metaflow, MLFlow, Dagster, Argo Workflow or Prefect
- Experience using Terraform, SqlAlchemy
- Experience in multi-node and multi-gpu training
- Experience deploying and maintaining infrastructure for machine learning training and production inference
- Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization
Benefits
Comp & perks- 401k matching
- unlimited paid time off (PTO)
ATS Keywords
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Hard Skills & Tools
PythonPyTorchTensorFlowJAXAWSDockerKubernetesML orchestration frameworksTerraformSqlAlchemy