Senior Principal Applied Scientist

Requirements

• Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX.
• Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc.
• Strong quantitative intuition and mastery of linear algebra, probability and statistics.
• Solid knowledge of basic data structures (list, vector, stack, heap), basic algorithms (sort, search, etc.) and associated time/memory asym.

What you'll be doing at UiPath

• Build and improve modern machine learning models to solve complex ML problems.
• Read papers, propose model improvements, implement and test the new models.
• Think about the best human-computer interfaces to make machine learning models accessible to everyone.
• Run regular benchmarks and perform statistical analysis, draw conclusions on the impact of your research-based optimizations and present your findings to the team.