Applied Scientist II

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 and algorithms

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 findings to the team

Nice to Haves

• No specific nice to haves mentioned in the job description

Perks and Benefits

• Flexibility in work location and hours
• Equal opportunities provided regardless of background or identity
• Reasonable accommodations available on request