Sr. Machine Learning Engineer, GAI Search Platform

Machine Learning Mountain View, CA Full Time

What You Will Do

We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users' questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers' employees.

For the Search Platform, we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. The search platform team works closely with the ranking, product, design, infrastructure and data science teams to drive our agentic search products to the next generation of capabilities focusing on performance and enterprise readiness.

We're building a team that thrives on moving fast, solving challenging product and engineering problems, and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.

• 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. This platform would enable product teams to build new applications and features quickly, ship new prototypes to customers at scale, evaluate and iterate on ranking improvements in a systematic manner, and enforce guarantees on quality, security, privacy and scalability.
• Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
• As a technical leader, you will help build a high-performing team with an inclusive and positive team culture.
• As a technical leader, you will iterate on our interview processes, and close candidates to help grow the team. You will also coach and mentor engineers at different levels to achieve their career goals.

What You Bring To The Table

• 5+ years of engineering with 2+ years of experience as a senior engineer (technical lead) leading a team of software engineers.
• Passionate about helping product and ranking teams move faster and scale their solutions better in an environment where everyone cares deeply about customer impact and success.
• First-hand 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.

Nice to Have

• Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents.
• Experience in Python. Contributing to mature python libraries or platform code, including open-source repositories is a nice to have.
• Experience in Golang (not required).

Not sure if this is the right level? Don't worry—while this role is scoped at L5+, we're open to candidates at the Senior, Staff, or Principal level based on experience and impact. Our interviews are designed to calibrate level based on experience. Compensation is commensurate to leveling decisions.

Base Compensation Range: $227,000 - $275,000

• Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.

Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role's scope and complexity, the candidate's experience and expertise, and other factors.

Moveworks Is An Equal Opportunity Employer

• Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

Who We Are

Moveworks is an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.

It's all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.

Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we've earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America's Most Loved Workplaces according to Newsweek.

Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.

Come join one of the most innovative teams on the planet