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Staff Machine Learning Engineer at Tilt · United States · Joined
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Staff Machine Learning Engineer

Tilt · United States · Just now · 0 applicants
NewRemoteFull-timeLead
Pay
$220k–$265kListed
Workplace
Remote
Job type
Full-time
Level
Lead
Team: ML Platform · Source: jobright · Posted by joined-scrapper

About the role

Tilt is hiring a Staff Machine Learning Engineer to own the ML platform between data science and infrastructure, including the managed feature store and training and deployment platforms. The role focuses on building self-service tooling so data scientists can deploy and operate models independently at scale.

What you’ll do

  • Own the managed feature store
  • Build training and deployment platforms for ML models
  • Enable data scientists to work independently
  • Remove engineers from the deployment loop with self-service tooling
  • Collaborate with backend engineers to get deployments live
  • Drive projects from requirements to completion

What you’ll need

  • Deep hands-on experience as a platform or software engineer working in ML
  • Experience with feature stores and model deployment platforms such as Databricks Feature Store, Feast, or Tecton
  • Strong CI/CD for ML with GitHub Actions, Jenkins, or Azure Pipelines
  • Infrastructure as code experience with Terraform
  • Cloud expertise in AWS or Azure for ML deployment plus Kubernetes and workflow orchestration
  • Strong command of batch and real-time serving, autoscaling, and latency and cost trade-offs

Original job description

Tilt builds mobile-first financial products and machine-learning-powered credit models. The Staff Machine Learning Engineer, ML Platform owns the platform between data science and infrastructure, operating the managed feature store and building training and deployment platforms that help data scientists work independently.Deep hands-on experience as a…

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