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Job Description

Join ServiceNow’s GenAI Search Platform team to build machine learning capabilities for LLM-enabled search-based question answering and evaluation.

Responsibilities

  • Drive development of the search platform with LLM-enabled generative AI features in a fast-paced environment
  • Enable product teams to rapidly build new applications and features, including shipping prototypes to customers at scale
  • Evaluate and iterate on ranking improvements using a systematic approach
  • Enforce guarantees on quality, security, privacy, and scalability for enterprise-ready search and summarization
  • Design systematic evaluation metrics and methodology for search models
  • Use LLMs to address enterprise challenges, including security and privacy
  • Collaborate with ranking, product, design, infrastructure, and data science teams to advance agentic search capabilities with a focus on performance and enterprise readiness
  • Partner with product, user experience, customer success, and other engineering teams to identify, define, and build solutions

Requirements

  • 3+ years of engineering experience
  • First-hand experience relevant to search platforms, such as:
    • traditional information retrieval
    • search ranking and relevance
    • recommendation systems
    • question answering systems
  • Background in one or more areas: text processing, information retrieval, natural language understanding, or machine learning
  • Interest in helping product and ranking teams move faster and scale solutions in an environment focused on customer impact and success

Technologies

  • LLMs (large language models)
  • Natural language understanding
  • Retrieval augmented generation (RAG)

Location and Work Persona

  • Mountain View, CA (onsite)
  • Work persona categories may be flexible, remote, or required in office
  • ServiceNow may confirm eligibility for a work persona by checking the distance between your primary residence and the closest ServiceNow office using a third-party service

Compensation

  • USD 139,700 - 216,500 per year base pay
  • Plus equity (when applicable), variable/incentive compensation, and benefits

Benefits

  • Health plans, including flexible spending accounts
  • 401(k) plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan
  • Family leave programs

Nice to Have

  • Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents
  • Experience with Python; contributing to mature Python libraries or platform code, including open-source repositories
  • Experience with Golang is not required

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