As the leader of a team of talented search relevance engineers, your objective will be to measure and improve the ranking and relevance of our AI-powered enterprise search applications. Since these applications also leverage large language models (LLMs), you will also be responsible for measuring and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness. You will guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more. Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products.
Your team's ownership of search quality is crucial to the company's search product lines, with success measured by its enablement capabilities. You will enable your team members by facilitating rapid iteration on model enhancements, allowing them to improve ML metrics with a clear understanding of performance tradeoffs and generalizability.
You will be responsible for guiding the team's technical direction, managing project timelines, and ensuring the robustness, efficiency, and innovation of our machine learning based search systems. Your team will collaborate closely with search infrastructure and platform engineers, and partner with product, design, and customer success teams to jointly achieve business objectives.
What You Will Do:- Team Leadership:
- Recruit, hire, and mentor a high-performing team of machine learning engineers.
- Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap.
- Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
- Set clear goals, provide regular feedback, and promote professional growth and development of team members.
- Project Management:
- Develop and manage project plans, timelines, and budgets for machine learning initiatives.
- Ensure the successful execution of projects, from ideation and prototyping to production deployment.
- Collaborate with cross-functional teams to define project requirements and priorities.
- Technical Leadership:
- Drive the technical vision and strategy.
- Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences.
- Oversee the research, development, and deployment of machine learning models and algorithms.
- Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies.
- Quality and Performance:
- Implement best practices for model development, data pipelines, and model evaluation.
- Monitor and optimize the performance, scalability, and reliability of machine learning systems.
- Ensure that our AI solutions meet high standards of accuracy and efficiency.
- Stakeholder Communication:
- Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals.
- Provide regular updates and reports on project status, challenges, and successes to stakeholders.
- Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projects
What you bring to the table:
- Master's degree in Computer Science specializing in Machine Learning or a related field. A Ph.D. is a plus.
- 8+ years of experience in applied machine learning preferably in the ranking/relevance domain, including 3+ years in technical leadership or management roles.
- Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
- Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.
- Proficiency in programming languages such as Python, Golang, C++.
- Excellent problem-solving and analytical skills.
- Strong communication skills.
- Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.
Compensation Range: $275,000 - $330,000
*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.
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!
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What We Do
The Moveworks Copilot unifies every business system, giving employees one place to go to find information and automate tasks, increasing employee productivity by simplifying work. Powered by a genAI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks Copilot understands employee requests, devises intelligent plans, then executes actions to get work done across application boundaries.
The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, to provide a universal search interface, and for common use cases across different applications. Learn more at Moveworks.com.
Why Work With Us
Company culture is difficult to distill. Sure, we could tell you about our 5-star rating on Glassdoor, or about how we were named to the Forbes AI 50 list. But the truth is that no talking point can capture what it’s like to work alongside this team every day, as we continue to push the boundaries of what’s possible with enterprise AI.
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