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Machine Learning Platform Engineer

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about 3 hours ago
Remote, Worldwide or Atlanta, GA, USAMid Level / Senior

Base Salary

$155k - $185k/yr

Responsibilities

  • Design and build end-to-end machine learning infrastructure.
  • Develop automation for low-latency services serving model inferences.
  • Lead the creation and optimization of a centralized feature store.
  • Collaborate with the Infrastructure team on core ML platform components.
  • Implement automated retraining pipelines and observability for ML systems.

Requirements

  • 3+ years of experience in Platform Engineering with a scalable ML platform.
  • 1+ years of experience owning ML systems end-to-end in production.
  • Proficient in streaming architectures and building low-latency services.
  • Deep experience in MLOps and managing the full ML lifecycle.
  • Proficient with Docker, Kubernetes, and cluster-level management.
  • Expert in Python; proficiency in Go, C++, or Rust is a plus.

Benefits

  • Company-subsidized medical, dental, & vision plans.
  • 401(k) plan with company match.
  • Annual bonus and flexible PTO.
  • Generous paid leave programs including 16-week paid parental leave.
  • Workplace flexibility and modern work schedules.
  • Company equipment provided and annual performance reviews.

Tech Stack

Apache FlinkApache KafkaC++DockerElasticsearchGoKubernetesPythonRedisRust

Categories

AI & MLData ScienceDevOps