About the job
Discover Your Future at UiPath
At UiPath, we harness the extraordinary potential of automation to revolutionize the way the world operates. Our mission is to develop top-tier enterprise software that empowers this transformation.
We seek individuals who are not only curious and driven but also generous and authentic. If you thrive in a dynamic, rapidly evolving environment and are passionate about making a difference—both in your team and the world—then we want to hear from you!
Does this resonate with you?
Your Role
As an Applied Scientist, you will bridge the gap between innovative research and practical application. Your responsibilities will include developing, enhancing, and deploying machine learning models at scale. We are looking for individuals who are not only enthusiastic about machine learning and computer science but also eager to apply theoretical concepts to solve real-world challenges with scalable, efficient, and reliable solutions.
We value kindness, motivation, integrity, and accountability in our team members. If you are ready to excel in a high-energy machine learning environment, we encourage you to apply!
Your Responsibilities at UiPath
- Develop and refine cutting-edge machine learning models to address intricate challenges.
- Conduct literature reviews, suggest enhancements to models, and implement and validate new methodologies.
- Consider optimal human-computer interaction designs to ensure accessibility of machine learning technologies.
- Execute regular performance evaluations and statistical analyses, drawing insights to showcase the results of your research-driven optimizations to your colleagues.
Qualifications
- Proficiency in Python and familiarity with leading ML libraries such as PyTorch, TensorFlow, or JAX.
- Experience implementing models from academic publications including ICML, ICLR, NeurIPS, etc.
- Strong quantitative skills with a solid grounding in linear algebra, probability, and statistics.
- Comprehensive understanding of fundamental data structures (lists, vectors, stacks, heaps) and algorithms (sorting, searching) along with their time and memory complexity.
If you believe you are a good fit for this position, even if you don't meet all the criteria, we encourage you to apply. We recognize that talent comes in various forms, and passion is invaluable.

