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Software Engineer, Machine Learning Infrastructure

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3 months ago
Houston, TX, USA or San Francisco, CA, USAMid Level / Senior
H1B Sponsor

Responsibilities

  • Architect and own a scalable model evaluation platform for perception and prediction models.
  • Partner with research scientists to optimize and scale distributed training workflows.
  • Design and maintain a versioned, high-quality training data store.
  • Build automated pipelines for data preparation, model training, validation, and deployment.
  • Contribute to tooling for high-throughput, high-accuracy data annotation.
  • Develop production ML services with reliability and continuous improvement.

Requirements

  • Bachelor's or Master's in Computer Science or equivalent practical experience.
  • Strong proficiency in Python and working knowledge of C++.
  • Hands-on experience building or scaling evaluation platforms, training infrastructure, dataset curation, or annotation platforms.
  • Strong experience with distributed computing and container orchestration.
  • Ability to operate independently and drive architectural decisions.

Categories

AI & MLData ScienceDevOps