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Research Scientist
4 months ago
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
And people who care—about each other, about UiPath, and about our larger purpose.
As an applied scientist, you'll work at the intersection between research and product. 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 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.
Collaborate with research scientists to scale model training to hundreds of GPUs.
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.
Stay up to date with the latest research and technology and communicate your knowledge throughout the company.
Mentor other members of the team and help hire new people.
A Master’s degree or PhD in Machine Learning, Computer Science or a related field.
Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX.
Experience with at least other programming language (e.g. Rust / C++ etc.)
Knowledge and appreciation of statically typed languages and using type systems to catch bugs early, rather than at runtime.
Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc.
Solid knowledge of basic data structures (list, vector, stack, heap), basic algorithms (sort, search, etc.) Good knowledge of GNU/Linux.
#Depending on the needs of the business and the role, the number of hybrid, office-based and remote workers will vary from team to team. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
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