About the job
UiPath creates enterprise automation software that enables organizations to work more efficiently. The team in Bucharest values curiosity, initiative, and a collaborative approach. The Senior Principal Applied Scientist role is ideal for those who enjoy both the theoretical and practical sides of machine learning.
Role overview
This position bridges research and product development. The Senior Principal Applied Scientist will design, optimize, and deploy machine learning models with a focus on scalability and reliability. A strong interest in computer science and a drive to solve real-world problems are central to this role.
What you will do
- Develop and refine advanced machine learning models for challenging problems.
- Review academic research, propose improvements, and implement and test new models.
- Explore user interfaces that help make machine learning models more accessible.
- Conduct benchmarks, analyze results statistically, and communicate findings to the team.
Requirements
- Proficiency in Python and experience with modern machine learning libraries such as PyTorch, TensorFlow, or JAX.
- Background in implementing models from academic sources (including conferences like ICML, ICLR, or NeurIPS).
- Strong quantitative foundation, including linear algebra, probability, and statistics.
- Understanding of key data structures (lists, vectors, stacks, heaps) and algorithms, with attention to time and memory complexity.
UiPath encourages applicants from diverse backgrounds and experiences. If the role interests you, consider applying even if not every qualification is met.

