Data Engineering Staff Member

3 weeks ago


Montreal, Quebec, Canada Servicenow Full time
About the Role

A challenging opportunity has emerged to contribute to the growth of ServiceNow's cutting-edge AI solutions. As a member of the Foundation Models Lab, you will play a pivotal role in designing and implementing novel language models that prioritize inference speed and scalability.

Key Responsibilities
  • You will enable large-scale model training projects, ensuring our AI capabilities are tailored to meet the unique demands of our enterprise environment.
  • Lead the enhancement of our 3D-parallelism training framework, aiming to increase its speed and efficiency by identifying compute bottlenecks and implementing critical tensor operations using OpenAI's Triton JIT compiler.
  • Design and optimize novel language model architectures that align with ServiceNow's operational needs, focusing on inference speed and scalability.
  • Contribute to broadening our training framework's support for diverse model architectures, balancing maintainability and stability with innovative features and experimentation.
Requirements
  • Extensive experience in GPU programming for deep learning, with a proven track record of optimizing large-scale systems for performance and efficiency.
  • Demonstrable skills in designing and implementing innovative deep learning architectures, preferably with experience in large language models.
  • Strong collaborative skills with the ability to work in a dynamic environment, driving projects to completion.
  • Effective communication skills, capable of articulating complex technical details and collaborating across teams.
About ServiceNow

ServiceNow is a global leader in the market, delivering innovative technology enhanced by AI to over 8,100 clients, including 85% of Fortune 500 companies.

Estimated Salary Range

$140,000 - $200,000 per annum, depending on location and experience.



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