UiPath

Principal Applied Scientist at UiPath focused on leading the architecture, research, and productization of next-generation ML systems for agent-based automation. The role involves defining technical strategy, architecting and deploying advanced ML systems (LLM fine-tuning, multimodal pipelines, agent orchestration), and leading ML infrastructure for training, inference, and MLOps. It also includes researching state-of-the-art techniques and establishing evaluation frameworks for agentic systems, with a strong emphasis on technical leadership and mentoring.

UiPath is seeking a Principal Applied Scientist to lead machine learning research and development for enterprise automation. This role involves innovating in NLP, computer vision, and multimodal learning, defining roadmaps for ML infrastructure, and mentoring teams. The ideal candidate has a PhD or MS, 5+ years of experience, and expertise in ML research and deployment.

Leading a team of senior technical experts focused on delivering AI and automation solutions for enterprise customers, involving agentic workflows, LLM systems, and production deployment. This role combines people leadership, technical strategy, and customer engagement within a scaling AI product environment.

Director of Forward Deployed Engineering leading a senior team on strategic customer engagements, defining the operating model for complex AI and automation programs. Focuses on shaping technical strategy, establishing standards for agent engineering, prompt operations, evaluation frameworks, LLM governance, and production deployment. Drives cross-functional initiatives for scalability and consistency, translating field insights into product direction. Requires deep expertise in LLM systems, AI application architecture, prompt engineering, evaluation frameworks, and large-scale deployment of agentic workflows.

This role focuses on building and scaling backend services for an AI agentic orchestration platform, leveraging AI coding assistants and focusing on distributed systems for enterprise use cases. The primary deliverable is the platform that orchestrates AI agents and robots.

Senior Principal Engineer at UiPath focused on building AI-native, agentic systems for enterprise automation. The role involves architecting and shipping large-scale cloud services, integrating AI deeply into products, and improving developer productivity. Key responsibilities include proposing and shipping services, navigating technical trade-offs, ensuring engineering excellence, and building agentic systems to solve enterprise bottlenecks. The role requires a strong track record in architecting and building commercial applications, expertise in distributed systems, and product thinking.