C++, Effective communication skills, JAX framework, Linux Operating system, Machine learning techniques, NeurIPS, Python Programming, PyTorch, Rust, TensorFlow
Your Mission
As an applied scientist, you'll work at the intersection between research and product. You'll build, optimize and deploy machine learning models as well as scale them up.
We’re looking for people who love machine learning and computer science, are interested in the theory behind the models, and are motivated to solve real world problems with techniques that are scalable, efficient, and reliable in production.
The ideal candidate is someone who has conducted and applied machine learning research of substantial practical importance. This position entails designing and executing large-scale experiments on complex infrastructure, requiring strong experimental intuition and programming skills. Beyond that, you need to be kind, courteous, motivated, self-starting, honest and responsible.
Background:
This role is with UiPath advanced machine learning research group. We focus on building large multi-modal models that can take action and move us closer to useful general intelligence. We are machine learning researchers and engineers working to solve the hard problem of getting machines to use software like humans do.
What you'll do at UiPath
What you'll bring to the team
UiPath is a global software company that makes robotic process automation software. It was founded in Bucharest, Romania, by Daniel Dines and Marius Tîrc?. Its headquarters are in New York City.