At a Glance
- Tasks: Develop and improve machine learning models to tackle complex challenges.
- Company: Join UiPath's advanced machine learning research group, pushing the boundaries of AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with mentorship opportunities and career advancement.
- Why this job: Contribute to groundbreaking research and make a real impact in AI development.
- Qualifications: PhD in Machine Learning or equivalent experience; strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Your Mission
As a research scientist, you'll build and improve our machine learning models to solve complex problems. UiPath is building large multi-modal models focused on taking action and moving us closer to useful general intelligence. In this role, you'll directly contribute to our core research challenges, pushing the boundaries of model and agent capabilities.
The ideal candidate is someone who has conducted and applied machine learning research of substantial practical importance. This position entails designing and executing large-scale experiments on complex infrastructure, requiring strong experimental intuition and programming skills. Beyond that, you need to be kind, courteous, motivated, self-starting, honest, and responsible.
Background: This role is with UiPath advanced machine learning research group. We focus on building large multi-modal models that can take action and move us closer to useful general intelligence. We are machine learning researchers and engineers working to solve the hard problem of getting machines to use software like humans do.
What you'll do at UiPath:
- Develop novel machine learning architectures towards the goal of useful general intelligence.
- Read papers, propose model improvements, implement, and test the new models.
- Take ownership of a research agenda, including proposing and carrying out high impact research projects.
- Present research findings both internally and at machine learning conferences like ICML, ICLR, NeurIPS, etc.
- Collaborate with applied scientists to scale model training to hundreds of GPUs.
- Stay up to date with the latest research and technology and communicate your knowledge throughout the company.
- Mentor other members of the team and help hire new people.
What you'll bring to the team:
- A PhD in Machine Learning / Computer Science or equivalent practical experience in a technical field.
- Publication record at leading machine learning conferences is a significant plus (ICML, ICLR, NeurIPS, etc.).
- Proven experience in successfully driving long-term, ambiguous projects to completion, preferably with significant practical impact.
- Strong quantitative intuition and mastery of linear algebra, probability and statistics.
- Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX.
- Excellent communication and collaboration skills, with the ability to effectively work with other researchers, as well as with infrastructure and product teams.
- Good intuition for how computers work, particularly how they interact with modern machine learning techniques.
- Experience with another programming language (e.g. Rust / C++ etc.) is a plus.
- Working knowledge of GNU/Linux.
Research Scientist employer: UiPath Inc.
At UiPath, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our research scientists to push the boundaries of machine learning. Our commitment to employee growth is evident through opportunities for mentorship, participation in leading conferences, and the chance to work on high-impact projects that shape the future of technology. Located in a vibrant tech hub, we offer a dynamic environment where creativity thrives, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend conferences, and join online forums. You never know who might have a lead on your dream job or can introduce you to someone at UiPath.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and research. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to the role at UiPath. Confidence and clarity can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the UiPath team and contributing to our mission.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Scientist role. Highlight your machine learning experience, relevant projects, and any publications you've got. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our team. Be sure to mention specific projects or research that excite you about working with us at UiPath.
Showcase Your Skills:Don’t forget to showcase your programming skills, especially in Python and ML libraries like PyTorch or TensorFlow. If you’ve worked on large-scale experiments, let us know! We love seeing practical applications of your work.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at UiPath Inc.
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant papers. Be prepared to discuss your findings, methodologies, and how they relate to the work at UiPath. This shows not only your expertise but also your passion for the field.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific examples of complex problems you've tackled in your previous roles. Highlight your experimental intuition and how you approached designing and executing large-scale experiments. This will showcase your ability to contribute to their core research challenges.
✨Show Off Your Collaboration Skills
Since this role involves working with applied scientists and mentoring others, be ready to share experiences where you successfully collaborated on projects. Emphasise your communication skills and how you’ve helped others grow in their roles.
✨Stay Updated and Be Curious
Research the latest trends and breakthroughs in machine learning. Bring up recent advancements or papers during your interview to demonstrate your commitment to staying current in the field. This will show that you’re proactive and genuinely interested in contributing to the team.
