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?

Your mission

The ML Engineer role helps ensure our applications operate at the cutting edge of AI, and can solve our customers most challenging problems. 

What you'll do at UiPath

• You will work as part of a team to design, build and maintain our AI applications and AI tooling. You'll see your outputs deployed and used in our applications, and engaged with directly by both our internal ProServe team, as well as  across our diverse customer base.

• Your feedback will help shape the future of the Peak platform. There's also huge potential to tailor your role to your preferred career path as the team grows, especially within our key domains of inventory and pricing.

• You'll bring strong enthusiasm for all things machine learning and data related, as well as keen interest in long-term advancement of your data and machine learning knowledge, software skills and product development practices.

• Your work will require you to be equally comfortable in actively collaborating with other ML Engineers, Product Managers and assorted stakeholders, as well as in carrying out independent technical research tasks.

• You'll bring empathy for the users of your tools and solutions, and be able to communicate articulately with your users too.

• You'll be excited by the prospect of building amazing machine-learning powered software products for our customers to love and depend on.

   

What you'll bring to the team

• Experience in one or more areas of machine learning, artificial intelligence, statistics, optimisation, operations research, Generative AI, or other highly numerate domains.

• Developed scientific software as part of a multidisciplinary team. Familiarity with engineering best practices, including CI/CD, unit and integration testing, peer code reviews, and modular code design

• Previous experience with Python

• Exposure to any of the major cloud platforms, including AWS, Microsoft Azure or GCP.

• Worked with common database technologies, including good SQL knowledge and/or experience working other NoSQL or big data technologies.

• Experience designing and/or building customer-centric software products.

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.