ServiceNow - Santa Clara, CA

posted 4 days ago

Full-time - Mid Level
Santa Clara, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

The role involves building next-generation Large Language Models (LLMs) for Enterprise Language Generation at ServiceNow. As part of the Advanced Technology Group, you will leverage your AI/ML expertise to develop innovative solutions that enhance the NOW platform, enabling smarter work experiences for over 9,000 enterprise customers globally. This position requires collaboration with a diverse team to design, implement, and scale AI-driven products while addressing real-world challenges in a practical and scalable manner.

Responsibilities

  • Use AI/ML expertise to apply existing methods and develop new ones to solve real-world challenges and datasets.
  • Research and propose appropriate models/techniques, and implement, train, and evaluate the models.
  • Contribute to the design, implementation, and scaling of LLMs as a key AI-first platform offering.
  • Collaborate with developers, applied research scientists, product managers, and quality engineers to produce quality software.
  • Work with product owners to understand detailed requirements and own the code from design to delivery of high-quality solutions.

Requirements

  • 4+ years of related experience with a Bachelor's degree; or 2 years and a Master's degree; or a PhD without experience; or equivalent work experience.
  • Expertise in Python, OOP, and Design Patterns.
  • Experience with Instruction fine tuning and other fine tuning techniques is a must.
  • Ability to read latest papers and experiment with the ideas.
  • Creating and maintaining large-scale data processing pipelines.

Nice-to-haves

  • Experience in Pretraining of an LLM is preferred but not mandatory.
  • Experience with Reinforcement learning is preferred but not mandatory.
  • Experience with various transformer architectures (auto-regressive, sequence-to-sequence, etc).
  • Ability to communicate research findings to both technical and non-technical stakeholders.

Benefits

  • Base pay of $151,900 - $258,100, plus equity and variable/incentive compensation.
  • Health plans, including flexible spending accounts.
  • 401(k) Plan with company match.
  • Employee Stock Purchase Plan (ESPP).
  • Flexible time away plan and family leave programs.
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