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Principal Research Scientist/Engineer

Principal Research Scientist/Engineer

CompanyServiceNow
LocationSanta Clara, CA, USA
Salary$236000 – $413000
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelExpert or higher

Requirements

  • 15+ years of related experience with a Bachelor’s degree; or 12 years and a Master’s degree; or a PhD with 8+ years of experience; or equivalent work experience.
  • Strong problem-solving skills and the ability to adapt to evolving requirements and technologies in the AI field.
  • Solid Machine Learning knowledge and hands-on experience.
  • Experience with LLM’s.
  • Demonstrated experience in creating and maintaining large-scale data processing pipelines, ensuring accurate, efficient, and secure data processing.
  • Proficiency in infrastructure design and implementation, with experience in building scalable and performant ML services.
  • Communicating to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of GenAI technologies are clearly understood across the organization.

Responsibilities

  • Contribute to the design, implementation, and operating LLMs at scale in a hybrid cloud environment to support ServiceNow’s portfolio of products.
  • Collaborate daily with a team of like-minded developers, applied research scientists, product managers, and quality engineers to deliver high-quality software.
  • Work closely with product owners to understand detailed requirements and take ownership of the entire software development cycle, from design to implementation, testing, and delivery of high-quality and high-impact solutions to our users.
  • Utilize your experience with distributed systems to build scalable and performant shared services that support the development and deployment of AI models and applications.
  • Use your AI/ML expertise and creativity to apply existing methods or collaborate to develop new ones to solve real-world challenges and datasets in a practical and scalable way.

Preferred Qualifications

  • Experience in Instruction fine tuning and other fine tuning methodologies preferred.
  • Experience with Search or Recommendation systems preferred.