Principal Applied Scientist- AI

Principal Applied Scientist- AI 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 genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? As a Principal Applied Scientist at UiPath, you’ll drive the frontier of machine learning research and development, crafting the foundation for transformative product innovations. This is a hands-on, leadership role at the intersection of applied research, engineering, and strategy—where you'll influence the technical direction of our most advanced ML initiatives. We are seeking a scientist with a proven track record of leading high-impact research and deploying cutting-edge machine learning systems at scale. You should be deeply curious about AI and ML, committed to pushing boundaries, and motivated to solve real-world automation problems in scalable and innovative ways. The ideal candidate has substantial experience designing and executing complex experiments, building high-performance ML systems, and mentoring teams. Above all, we value collaboration, humility, technical excellence, and a bias for action. #LI-MH1 Background: This role is with the UiPath advanced machine learning research group, which builds large multi-modal models designed to act and operate software like humans. Our mission is to push the boundaries of AI in pursuit of useful general intelligence for enterprise automation. What you’ll do at UiPath: - Lead the design and development of state-of-the-art machine learning and deep learning systems for real-world production environments. - Innovate in NLP, NLU, NLG, computer vision, and multi-modal learning to drive breakthroughs in software automation. - Define and drive the roadmap for scalable ML infrastructure and research-to-production pipelines. - Architect experiments, conduct in-depth benchmarking, and analyze large-scale datasets to evaluate and improve model performance. - Collaborate cross-functionally with engineering, product, and research teams to integrate ML systems into UiPath products. - Mentor and guide other scientists and engineers, providing technical leadership and fostering a culture of innovation and rigor. - Stay ahead of industry and academic advancements, influencing the company’s research strategy and sharing insights across the organization. What you’ll bring to the team: - PhD or MS in Computer Science, Machine Learning, Statistics, or a related field. - 5+ years of experience in machine learning research and large-scale system deployment. - Deep expertise in areas such as natural language processing, computer vision, multimodal learning, or reinforcement learning. - Demonstrated success leading ML projects from research to production. - Strong programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or JAX. - Experience working with large-scale datasets and cloud-based ML infrastructure. - Excellent communication skills with a collaborative and mentoring mindset. - Prior experience in automation, RPA, or related enterprise AI applications is a plus. - Candidates must be authorized to work in the United States for this role. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed dead ... (truncated, view full listing at source)