Principal Applied Scientist- AI

What this role involves

This is a Principal Applied Scientist role at UiPath focused on leading research and development of frontier AI systems for enterprise automation. The role involves building large multimodal foundation models, agentic AI, and post-training techniques, and requires deep expertise in areas like RLHF, preference optimization, and model evaluation. The position is an individual contributor leadership role, requiring a PhD or equivalent research experience.

Skills this posting asks for

• foundation model training
• llm post-training
• reinforcement learning from human feedback
• preference optimization
• dpo
• ppo
• grpo
• reward modeling
• synthetic data generation
• model evaluation
• agentic reasoning
• tool use
• function calling
• long-horizon planning
• multimodal learning
• retrieval-augmented generation
• distributed training
• distributed inference
• pytorch
• model alignment
• model safety

Requirements

• Level: principal

From the employer’s posting

LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genui…