Junior Distributed Machine Learning Engineer

Jobright.ai; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading AI career platform is seeking a Junior Distributed Machine Learning Engineer in Sunnyvale, CA. You will optimize performance of machine learning software, develop new systems, and support research challenges. A Ph.D. or Master's in a relevant field with experience in parallel computing is required. The role offers full-time employment with excellent benefits, including medical and vision insurance.

Qualifications

• Ph.D. or Master's in relevant field with experience.
• 1+ years of working experience for Ph.D. holders.
• 2+ years of experience for Master's holders.

Responsibilities

• Optimize machine learning software stacks performance.
• Design performance benchmarks and testing methodologies.
• Triage system issues and enhance GPU utilization.

Skills

Strong background in parallel computing

Hands-on experience in system level coding

Large-scale machine learning experience

Education

Ph.D. in CS, EE or CSEE or equivalent experience

Masters in CS, EE or CSEE with 2+ years working experience

Job description

Junior Distributed Machine Learning Engineer

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Junior Distributed Machine Learning Engineer

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Job Summary:

Mohamed bin Zayed University of Artificial Intelligence is dedicated to research, innovation, and empowering brilliant minds in AI. The Distributed Machine Learning Engineer will optimize performance for machine learning software stacks, develop new systems, and work alongside researchers to tackle challenges in AI development.

Responsibilities:

• 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.

Qualifications:

Required:

• 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

• Strong background in parallel computing

• Hands-on experience in system level coding

• Large-scale machine learning experience

Company:

Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage. MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Medical insurance

Vision insurance

401(k)

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