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HiveHiveSeattle, WA

Senior Machine Learning Engineer

Develop, deploy, and optimize production-scale ML models using deep learning frameworks like PyTorch/TensorFlow. Requires 5+ years experience, expertise in Python, distributed systems, and focus areas like computer vision or NLP.

Salary not listed
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Design, code, train, tune, deploy, and analyze ML models at scale for production use cases
  • Write and maintain scalable, performant, secure code across platforms
  • Contribute to product and core backend systems with improvements
  • Improve engineering standards, tooling, processes, and security
  • Develop novel ML algorithms for large-scale use
  • Conduct metric-driven research to improve model performance
  • Mentor junior ML engineers and collaborate cross-functionally

Requirements

  • Bachelor's Degree in computer science or related field
  • 5+ years building production-scale ML models
  • Expertise in PyTorch or TensorFlow
  • Expert in Python and/or shell scripting for data analysis
  • Experience with distributed systems for code and training
  • Knowledge in computer vision or NLP
  • Strong code quality, automated testing, and engineering best practices
  • Comfortable with ambiguity, tradeoffs, and end-to-end product development

Skills

PyTorchTensorFlowPythonComputer VisionNLPDistributed SystemsMachine LearningNeural NetworksData Pipelines

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