Research Scientist

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.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

As a Research Scientist, your mission is to operate at the intersection of foundational research and applied innovation. You will be responsible for advancing our company's reputation in the global ML community by pursuing and publishing high-impact work at top-tier conferences (NeurIPS, ICML). Concurrently, you will explore and test creative, forward-thinking hypotheses in agentic automation. In close collaboration with ML engineers across the company, you will translate these research breakthroughs into novel capabilities that push the boundaries of our products and fundamentally improve our core models.

We're looking for people who live to challenge 'good enough' in computer science and machine learning. You are motivated to solve real-world problems by inventing the next technique, not just applying the last one, and are driven to inject scientific novelty into everything you build. Beyond that, you need to be kind, courteous, motivated, self-starting and honest.

• Develop novel machine learning architectures that form the basis for autonomous agents, enabling them to interact with complex systems, formulate plans, and automate the solving of hard problems.

• Read papers, propose model improvements, implement, and test the new models. - Take ownership of a research agenda, including proposing and carrying out high impact research projects.

• Present research findings both internally and at machine learning conferences like ICML, ICLR, NeurIPS, etc.

• Collaborate with applied scientists and engineers to improve our AI/ML products.

• 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 PhD in Machine Learning / Computer Science or equivalent practical experience in a technical field. - Publication record at leading machine learning conferences is a significant plus (ICML, ICLR, NeurIPS, etc.).

• Proven experience in successfully driving long-term, ambiguous projects to completion, preferably with significant practical impact.

• Strong quantitative intuition and mastery of linear algebra, probability and statistics.

• Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX.

• Excellent communication and collaboration skills, with the ability to effectively work with other researchers, as well as with infrastructure and product teams.

• Good intuition for how computers work, particularly how they interact with modern machine learning techniques.

• Experience with another programming language (e.g. Rust / C++ etc.) is a plus.

• Working knowledge of GNU/Linux.

#LI-CE1

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.