Principal Applied Scientist

The role

You will lead the architecture, research, and productization of next-generation ML systems. This role involves bridging deep research with deployment at scale to shape the future of enterprise automation.

What you will do

• Define and drive technical strategy for agent-based automation.
• Architect, prototype, and deploy advanced ML and AI systems.
• Lead the design and implementation of ML infrastructure and services.
• Partner with product, engineering, design, and go-to-market teams.
• Research state-of-the-art techniques in prompting, RAG, and RL.
• Establish best practices, frameworks, and metrics for evaluating agentic systems.
• Serve as a technical leader and mentor across ML engineering, data science, and software engineering.
• Represent UiPath in the broader community through publications and open-source contributions.

Required qualifications

• Advanced degree in Computer Science, Machine Learning, AI, or a related field, or equivalent experience.
• 10+ years of industry experience in machine learning.
• Substantial experience building and operating ML systems in production.
• Deep expertise in modern ML frameworks and libraries.
• Strong proficiency in Python.
• Experience integrating ML models into large-scale software systems.
• Proven experience with large language models or foundation models.
• Experience with large datasets, distributed training or inference, and scalable architecture design.
• Excellent communication skills.
• Demonstrated technical leadership in mentoring and influencing strategy.

Nice to have

• MS or PhD preferred

About the company

UiPath believes in the transformative power of automation to change how the world works. They are committed to creating category-leading enterprise software.