At a Glance
- Tasks: Build and enhance machine learning models to tackle complex challenges.
- Company: Join UiPath's advanced machine learning research group focused on general intelligence.
- Benefits: Competitive salary, opportunities for mentorship, and exposure to cutting-edge research.
- Other info: Collaborative environment with opportunities to present at top conferences.
- Why this job: Contribute to groundbreaking research and push the limits of AI technology.
- Qualifications: PhD in Machine Learning or equivalent experience, with strong programming skills.
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: Pushing ML Toward General Intelligence in London 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. Located in a vibrant tech hub, we offer competitive benefits, opportunities for professional growth, and the chance to contribute to groundbreaking projects that aim for useful general intelligence. Join us to be part of a team that values kindness, motivation, and responsibility while making a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist: Pushing ML Toward General Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend conferences, and join online forums. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and research. This is a great way for us to demonstrate our expertise and stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and discussing our past projects. We should be ready to explain our thought process and how we tackle complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the UiPath team.
We think you need these skills to ace Research Scientist: Pushing ML Toward General Intelligence in London
Some tips for your application 🫡
Show Off Your Research Skills:Make sure to highlight your experience in machine learning research. Talk about the projects you've worked on, especially those that had a real-world impact. We want to see how you’ve pushed boundaries and contributed to the field!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with our mission.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and skills. We appreciate honesty and clarity, so don’t overcomplicate things!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 Share Knowledge
Research the latest advancements in machine learning and be prepared to discuss them. Show that you’re proactive about staying current and that you can communicate complex ideas clearly. This will demonstrate your commitment to continuous learning and knowledge sharing within the team.
