Software Engineer and Machine Learning Intern

Software Engineer and Machine Learning Intern London, England

UiPath
Full Time London, England 10.56 - 12.04 GBP Today
Job description

Overview:
We see boundless potential in the way we live. It drives the way we work. Our culture is our
most valuable asset. It acts like a compass for us. We are fast, immersed, humble and bold. And
that’s not just words on the walls. Eliminating time-consuming tasks means people get to do
more of what they love. It’s an inspiring, high stakes challenge that motivates us, and this
common passion bonds UiPath employees globally. We all strive every day to be better and to
accelerate human achievement.

We make software robots, so people don’t have to be robots. Would you like to be part of this
journey?

UiPath is in search of a Software Engineer and Machine Learning Intern to join our Summer
internship program in our Communications Mining Engineering team in London, UK.
We are looking for incredibly motivated, driven and innovative individuals who are excited to join our
fast-growing teams. In this program, you will be supported by managers, mentors, and a global
class of interns.

Start date:
Summer, 2023, 3-months internship
Schedule: Full-time
Note: This is a 3-months full-time paid internship. At the end, the successful internship participants will have the possibility to become full-time employees.
What you'll do at UiPath:
You will build meaningful and scalable software, participate in brainstorming sessions and share
insights to our technology, and work with the product and design teams to understand end-user
requirements, formulate use cases, and deliver results. You’ll work and learn from some of the
best in industry who are always looking for ways to take it one step further.
We value technical and personal growth and during your internship, you will absolutely
experience both.
What you'll bring to the team:
  • A strong fundamental understanding of Computer Science through pursuit of a
    Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, NLP,
    math, or a related discipline
  • Programming proficiency in one or more object-oriented languages (such as Python,
    Rust, C#, C/C++, Java etc.) backed by solid computer science fundamentals
  • Python or Rust programming proficiency is preferred
  • Experience from previous internships or other multi-person projects, including open-source contributions
  • Ability to learn unfamiliar systems and form an understanding of those systems, through
    independent research and working with a mentor and subject matter experts
:
At UiPath, 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, military and/or veteran status, or any other protected classes.

UiPath is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a medical condition or disability which inhibits your ability to complete any part of the application process, and are in need of a reasonable accommodation to complete the process, please contact us @ [email protected] and let us know how we may assist you.

This notice together with our Privacy Policy and Terms of Use of this website and any other documents we mention here are meant to inform you on what personal data about you we collect, use, disclose, share or otherwise process when you are applying for a job at UiPath or when UiPath contacts you for recruitment purposes. Please read this policy carefully to understand our views and practices on how we protect your personal data.

All applicants from United States have rights under Federal Employment Laws, including Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO) and Employee Polygraph Protection Act (EPPA).

Software Engineer and Machine Learning Intern
UiPath

www.uipath.com
New York, United States
Daniel Dines
Unknown / Non-Applicable
1001 to 5000 Employees
Company - Public
Enterprise Software & Network Solutions
2005
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