ML Systems Integration Engineer

3 weeks ago

Old Toronto, Ontario, Canada Cerebras Systems Full time
About the Role

Cerebras Systems is revolutionizing the field of artificial intelligence with its cutting-edge technology. As an ML Integration and Ops Engineer, you will play a crucial role in bringing together software and hardware components to make large-scale LLM model training simple and easy to use.

Key Responsibilities
  • Drive technical projects involving multiple teams and software/hardware components to simplify large-scale LLM model training.
  • Develop and implement effective integration methodologies, strong debugging skills, and excellent communication techniques.
  • Break down complex tasks into manageable parts and identify creative solutions to problems.
  • Automate workflows, testbed setups, and build tools to monitor and debug systems.
  • Contribute to developing software specifications with a focus on ML products.
Requirements
  • Master's degree in computer science or EE with 0-6 years of industry experience.
  • Experience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environment.
  • Strong automation and programming skills using Python, C++, or Go.
  • Knowledge of software system design and ML workflows and frameworks like TensorFlow or PyTorch.
Preferred Qualifications
  • Hands-on experience with training LLMs and working with container, Kubernetes.
  • Experience in driving projects across multiple teams.
Why Cerebras Systems

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth, and support of those around them.

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