Senior ML Quality Assurance Specialist

5 days ago

London, Ontario, Canada G+H Innenausbau GmbH Full time

About the Company:

Cerebras has developed a groundbreaking system to accelerate deep learning applications. Our innovative architecture fundamentally changes the way ML researchers work and pursue AI innovation.

Job Description:

As a Senior ML Quality Engineer, you will be part of the MIQ team responsible for ensuring the quality of Cerebras SW across all supported ML workloads and workflows. You will focus on software components feature testing, ML training accuracy and performance, pre-deployment/production validation, validating customer workloads and workflows.

Responsibilities:

  • Drive quality of various software and hardware components of Cerebras solution to ensure accuracy, performance, and usability of model trainings.
  • Bring good testing methodology, effective communication, and strong debugging skills to the team.
  • Demand the highest quality from all components within the Cerebras environment.
  • Able to automate workflows, setup testbeds, and build tools to effectively monitor and debug issues.
  • Implement creative ways to break Cerebras software and identify potential problems.
  • Break down complex tasks into smaller tasks. Be a problem solver. Be a thought leader.
  • Able to work in a fast-paced environment and make necessary prioritizations and judgements which affects productivity at a company level.

Requirements:

  • 3-7 years of relevant industry experience in Software quality and testing areas.
  • Experience testing AI/ML models and evaluation of the model quality.
  • Strong automation and programming skills using one or more programming languages like Python, C++, or Go.
  • Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.
  • Experience in debugging issues across scale-out deployment.
  • Experience in putting together thorough test-plans.
  • Experience working effectively across teams, including product development, product management, customer operations, and field teams.

Benefits:

  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Simple, non-corporate work culture that respects individual beliefs.

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