Senior Machine Learning Engineer, vLLM

Posted 2 days ago

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About the role

  • Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open-source context.

Responsibilities

  • Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM
  • Create and manage inference serving deployment pipelines
  • Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models
  • Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research
  • Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance
  • Give thoughtful and prompt code reviews
  • Continuous collaboration with internal and external open source committers and contributors while contributing to vLLM and related projects

Requirements

  • Strong understanding of machine learning and deep learning fundamentals
  • Experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning
  • Experience with tensor math libraries such as PyTorch and NumPy
  • Strong programming skills with proven experience implementing Python based machine learning solutions
  • Ability to develop and implement research ideas and algorithms
  • Experience with mathematical software, especially linear algebra
  • Understanding of Linear Algebra, Gradients, Probability, and Graph Theory
  • BS, or MS, or PhD in computer science or computer engineering or a related field.

Benefits

  • Flexible work arrangements
  • Professional development opportunities
  • Health insurance

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

NumpyOpen SourcePythonPyTorch

Location requirements

RemoteCanada

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