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Principal Machine Learning Engineer, GAI Search Relevance - Ranking - Moveworks at ServiceNow
ServiceNowMountain View, CALIFORNIA, us·6h ago
Mid LevelFull-timeRustMachine LearningData ScienceAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Principal Engineer to lead the technical vision and long-term architecture of our GenAI Search Platform. This platform powers Moveworks’ conversational search and question-answering systems, combining advanced information retrieval with large language models (LLMs) to deliver instant, enterprise-grade answers at scale.
Key Responsibilities
- →Define and evolve the long-term architecture of our GenAI search platform, balancing classical information retrieval techniques with LLM-driven retrieval-augmented generation (RAG) systems.
- →Architect scalable abstractions and frameworks that enable multiple teams to safely and independently build on top of the platform.
- →Lead the development of advanced conversational search systems, including multi-turn, multi-hop, and agentic workflows.
- →Define architectural patterns for integrating LLMs into search systems in a secure, cost-efficient, and production-grade manner.
- →Establish systematic evaluation methodologies and metrics for search and generative systems.
- →Lead the definition of quality standards for ranking, retrieval accuracy, hallucination mitigation, and user trust.
- →Influence product and engineering roadmaps to align with platform strategy and long-term scalability goals.
- →Mentor and elevate senior and staff engineers.
- →Shape hiring strategy and help close top technical talent.
Requirements
- ✓Extensive experience in machine learning and large language models.
- ✓Strong background in information retrieval and search systems.
- ✓Proven ability to define and drive technical strategy for complex platforms.
- ✓Experience with scalable architecture and enterprise-grade systems.
- ✓Leadership experience in cross-functional technical teams.
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