UiPath
Principal Applied Scientist - AI
Bellevue · Principal
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About the role
- Our mission is to advance practical general intelligence for enterprise automation.
Responsibilities
- Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
- Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion.
- Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use.
- Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration.
- Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation.
- Collaborate closely with engineering and product teams to transition research into production systems.
- You will lead the research and development of frontier AI systems that combine foundation models, multimodal reasoning, agentic workflows, and post-training techniques to build autonomous software capable of operating enterprise applications like a human.
- This is an individual contributor leadership role for scientists who enjoy building.
Requirements
- The ideal candidate has deep expertise in several of the following:
Nice to have
- Preferred Experience
Benefits
- Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation.
Company info
- Foundation models
- Agentic AI
- Multimodal reasoning
- Reinforcement learning
- Post-training
- Model alignment
- Evaluation systems
- Enterprise AI agents
- What We're Looking For
- We're looking for scientists who have successfully taken frontier AI research from idea to production.
- People who love being part of a fast-moving, fast-thinking growth company.
- At UiPath, we believe the next generation of software won't simply automate tasks-it will reason, plan, adapt, and act autonomously.
- You'll work at the intersection of applied research and production engineering-designing new algorithms, training and evaluating large models, developing novel post-training methods, and shipping systems that reach enterprise customers.
This listing is sourced directly from UiPath's careers page and normalized into a canonical job model.