Machine Learning Engineer

Overview

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 at Peak 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, maintain, and implement our AI

applications and AI tooling. You'll see your outputs deployed and used in our

applications, to support 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 other stakeholders, as well as in carrying out independent technical

research tasks. You'll also bring empathy for the users of your tools and solutions, and

be able to communicate directly with customers during the delivery/implementation

phase of a project. 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.

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.