Staff MLE, GAI Search Platform - Moveworks

ServiceNow•Mountain View, CA

1d•$176,100 - $308,200•Onsite

About The Position

Moveworks’ GenAI Search Platform team develops conversational search systems that deliver instant answers to enterprise users. The platform combines modern information retrieval and natural language understanding, including large language models, to retrieve, match, rank, and summarize text from heterogeneous knowledge sources. The role focuses on improving search-based question-answering systems using traditional machine learning and generative AI, and advancing agentic search products for performance and enterprise readiness. As a technical leader, you will provide direction and coaching to search and machine-learning engineers, and collaborate with ranking, product, design, infrastructure, and data science teams. You will help build platform capabilities that let product teams develop and launch applications quickly, evaluate and improve ranking systematically, and maintain quality, security, privacy, and scalability. The role also includes contributing to an inclusive team culture, improving interview processes, recruiting, and mentoring engineers.

Requirements

5+ years of engineering experience, including 2+ years as a senior engineer or technical lead leading a team of software engineers.
Experience relevant to 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.
Ability and interest in helping product and ranking teams move faster and scale solutions, with a focus on customer impact and success.

Nice To Haves

Experience with, or desire to learn, large language models, retrieval-augmented generation (RAG), and agents.
Python experience; contributions to mature Python libraries or platform code, including open-source repositories, are a plus.
Golang experience (not required).

Responsibilities

Provide technical direction and thoughtful coaching to search and machine-learning engineers.
Partner with product, user experience, customer success, and engineering teams to identify, define, and build solutions.
Architect abstractions that enable ranking and product teams to contribute safely and easily to the codebase.
Develop algorithm frameworks for conversational search applications, including multi-turn, multi-hop question answering systems.
Drive development of the search platform and its LLM-enabled generative AI features.
Enable product teams to build applications, ship prototypes at scale, and systematically evaluate and iterate on ranking improvements while enforcing quality, security, privacy, and scalability guarantees.
Develop systematic evaluation metrics and methodologies for search models, using LLMs to address enterprise security and privacy challenges.
Help build a high-performing team with an inclusive and positive culture.
Iterate on interview processes, help close candidates, and grow the team.
Coach and mentor engineers at different levels to support their career goals.