UiPath

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.

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.

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.