Posted Apr 23, 2026
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. # What you'll bring to the team
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
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. 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. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. 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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