Life at UiPath
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
Join our summer Intern program in Bellevue!
As an Engineer research intern at UiPath, you will have the opportunity to work side by side with the best and the brightest in the industry. You'll be part of a highly technical team, working with some of the latest technologies and will most definitely learn and grow your skillset.
The ideal candidate will have a strong background in software engineering and machine learning as well as a passion for staying up to date with the latest advances in these fields. They will play a crucial role for designing, implementing, and optimizing cutting-edge machine learning systems and help lead our team to success.
If you are looking for an opportunity to learn, accelerate your career, and have fun - then we want to hear from you!
What You'll Do At UiPath
- Research and implement novel approaches for enterprise-grade generative AI systems, focusing on context-aware language models and agentic automations.
- Contribute to cloud-native architectures for deploying and scaling AI agents across enterprise environments.
- Collaborate with research scientists and engineers to transform academic insights into production-ready solutions.
What You'll Bring To The Team
- Currently pursuing a PhD in Computer Science, generative AI, agents, context grounding or related fields.
- Demonstrated experience implementing and extending state-of-the-art papers.
- Previous internship experience in industry research or engineering roles.
- Expert-level Python programming skills, with experience in modern AI frameworks (e.g. PyTorch, Transformers, LangChain).
- Practical experience deploying AI systems in cloud environments (AWS, Azure, or GCP).
- Familiar with source control, (nice to have: familiar with cloud deployment with CI/CD as well)
- Has projects where recent papers with new LLM and RAG techniques have been implemented
Nice to have:
- Experience with enterprise-scale machine learning systems.
- Publication record in conferences (e.g., NeurIPS, ICML, ACL, ICLR).
Maybe you don’t tick all the boxes above— but still think you’d be great for the job? Go ahead, apply anyway. 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.
Pay Transparency
The anticipated base salary range for this position is between $0 and $0. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.
