Senior Staff MLE GenAI Search Platform Architect

ServiceNow; Mountain View (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

ServiceNow is seeking senior and staff engineers for its GenAI Search Platform team to advance enterprise search and conversational AI capabilities. You will lead architecture, ML/NLP efforts, and collaboration with product, design, infrastructure, and data science teams to deliver scalable, secure ranking and retrieval systems.

You will mentor engineers, drive rapid feature development, and help grow a high-performing team in a fast-paced environment focused on performance and enterprise

Qualifications

• 5+ years of engineering with at least 2 years as a senior engineer (technical lead) leading a team of software engineers.
• Experience with search platforms such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems.
• Background in text processing, information retrieval, natural language understanding, or machine learning.

Responsibilities

• Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
• Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
• Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment.
• Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address security and privacy challenges.
• As a technical leader, build a high-performing team with an inclusive and positive culture.
• Iterate on interview processes and coach engineers to grow their careers.

Skills

Senior leadership

Search platforms

NLP/IR

ML fundamentals

Tools

Python

Go

Job description

ServiceNow is seeking senior and staff engineers for its GenAI Search Platform team to advance enterprise search and conversational AI capabilities. You will lead architecture, ML/NLP efforts, and collaboration with product, design, infrastructure, and data science teams to deliver scalable, secure ranking and retrieval systems.

You will mentor engineers, drive rapid feature development, and help grow a high-performing team in a fast-paced environment focused on performance and enterprise