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.

Senior Software Engineer to develop user-facing features for an AI assistant (Autopilot) that helps users create, edit, and publish automations through natural language, predicts next actions, and recommends them. The role involves full-stack development and enabling the platform for coding agents.

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 Applied Scientist role at UiPath focusing on building, optimizing, and deploying machine learning models. The role involves implementing models from academic papers, running benchmarks, performing statistical analysis, and presenting findings. It requires strong knowledge of Python, ML libraries, and foundational computer science/math concepts, with a focus on applying ML to solve real-world problems in an enterprise context.

Sales Engineer II role focused on presales technical expertise for enterprise deals, involving customer discovery, solution design, and hands-on execution of AI-powered workflows and agentic automation using LLMs, RAG, and vector databases. Requires building tailored demos, POCs, and solution accelerators to demonstrate business value and technical feasibility of the UiPath platform.

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.

UiPath is seeking a Principal Site Reliability Engineer to build intelligent reliability platforms and tooling that leverage AI/ML to improve service reliability, reduce operational toil, and accelerate incident response. The role involves designing self-healing mechanisms, AI-assisted debugging tools, predictive reliability models, and AI-powered incident response systems for large-scale, cloud-native systems.

This role focuses on developing and implementing RPA solutions that integrate AI capabilities, including agentic workflows, copilots, and document understanding, to drive customer adoption of UiPath products. Responsibilities include designing, developing, testing, and deploying automation workflows, orchestrating processes across various systems, and applying prompt engineering techniques. The role also involves monitoring performance, troubleshooting issues, and collaborating with the product team on agentic capabilities.

Machine Learning Engineer at UiPath focused on designing, building, and implementing AI applications and tooling for enterprise customers. The role involves working with Generative AI and other ML domains, collaborating with cross-functional teams, and contributing to customer-centric software products.

The Forward Deployed Engineer II at UiPath is responsible for delivering scoped customer implementations of AI-powered automation solutions. This role involves designing, building, and integrating AI-driven workflows and agents using UiPath's platform, extending functionality with APIs and SDKs, and debugging across various systems including AI inference and data pipelines. The engineer will also contribute to internal libraries and proactively manage delivery risks.

Forward Deployed Scientist role at UiPath, partnering with customers to solve commercial challenges using ML, data science, and AI. Focuses on deploying and customizing AI products, applying statistical modeling, and communicating insights to stakeholders.

Applied Scientist role focused on building, optimizing, and deploying machine learning models, with a strong emphasis on implementing models from academic papers and solving real-world problems in a production environment. The role involves research, model improvement, and making ML accessible.