Applied Scientist • Mid-Level

Who you are

You have a strong background in machine learning and computer science, with a passion for building and optimizing models that solve real-world problems. You are curious and motivated, always looking to improve your skills and contribute to a fast-paced team. Your ability to read research papers and implement new ideas sets you apart, and you thrive in collaborative environments where you can share your findings and learn from others.

You are kind, courteous, and responsible, valuing teamwork and the impact of your work on the larger mission of the company. You understand the importance of making machine learning accessible and are excited about creating user-friendly interfaces that enhance human-computer interaction. Your analytical skills allow you to run benchmarks and perform statistical analysis, drawing meaningful conclusions from your research.

What you'll do

As an Applied Scientist II at UiPath, you will build and improve modern machine learning models to tackle complex challenges. You will read and analyze academic papers, proposing enhancements to existing models and implementing new solutions. Your work will involve regular benchmarking and statistical analysis to assess the impact of your optimizations, and you will present your findings to the team to foster a culture of continuous improvement.

You will collaborate closely with product teams to ensure that the models you develop are not only effective but also scalable and reliable in production environments. Your role will require you to think critically about the best ways to interface machine learning models with users, ensuring that the technology is accessible and beneficial to all stakeholders. You will be part of a dynamic team that values innovation and the transformative power of automation in the enterprise software space.

What we offer

At UiPath, you will be part of a mission-driven company that believes in the power of automation to change how the world works. We offer a collaborative and inclusive work environment where your contributions are valued. You will have the opportunity to work on cutting-edge technology and make a real impact in the field of machine learning. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.