As the Engineering Manager for the Machine Learning Infrastructure team, you will spearhead the development of the cutting-edge platform that powers Moveworks' conversational AI. This role is absolutely critical to the long-term scalability of our core AI product and, ultimately, the company.
Your primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will guide the team's technical vision, balancing the operational demands of our core ML infrastructure with forward-looking research to build the next generation of LLMs using cutting-edge generative AI.
The frameworks your team builds serve as the foundation for all ML models in production, serving hundreds of millions of enterprise employees. Your contributions will be instrumental in shaping the Moveworks Enterprise Copilot platform and defining the future of AI-driven employee services.
What You Will Do:- Lead, Mentor, and Grow a world-class team of ML and Systems Engineers, fostering a culture of innovation, ownership, and operational excellence that aligns with Moveworks' core principles.
- Own the Technical Vision and roadmap for the end-to-end ML platform that powers the entire lifecycle—from data synthesis and distributed training to ultra-low-latency inference and serving—for hundreds of production models, including our proprietary MoveLM series.
- Drive the Strategy for model performance and efficiency, making critical architectural decisions to optimize our GPU infrastructure for latency, throughput, and cost at massive scale.
- Partner with Leaders across agentic platform, search platform, product engineering, and core infrastructure teams to define and deliver the foundational infrastructure that will power the next generation of agentic AI experiences.
- Champion a Product Mindset for your platform, building powerful abstractions and tools that accelerate the velocity of machine learning engineers and researchers across the organization.
- A Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of industry experience with a proven track record of leading or managing high-performing machine learning or infrastructure teams.
- Deep technical expertise in designing, building, and scaling end-to-end machine learning systems in production environments.
- Strong command of Python and experience with performant languages such as C++ or GoLang.
- Extensive experience with deep learning frameworks like PyTorch or Hugging Face.
- Hands-on experience with modern LLM infrastructure, including distributed training frameworks (e.g., Deepspeed) and inference/serving frameworks (e.g., vLLM, TensorRT-LLM, Kubernetes).
- A strategic mindset with experience balancing the demands of operating robust, scalable infrastructure with the need for forward-looking research and development.
- Excellent communication and collaboration skills, with experience working cross-functionally to deliver complex projects.
- Experience working with Machine Learning products
Base Salary Compensation Range: $276,00-$340,000
*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!
Top Skills
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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