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Distributed Machine Learning Engineer

Ifm-us
Sunnyvale, USA
Full-time
Senior · 1+ years experience
Onsite
USD 150000-450000 yearly / year
Discovered 1 weeks ago
Free

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  • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization
  • Design and implement performance benchmarks and testing methodologies to evaluate application performance
  • Build tools to automate workload analysis, workload optimization, and other critical workflows
  • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization
  • Support the team to develop appropriate kernels and systems for new model architectures and algorithms
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
  • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR
  • Masters in CS, EE or CSEE or equivalent experience with 2+ year working experience

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