At a Glance
- Tasks: Build and enhance machine learning models to tackle complex challenges.
- Company: Join UiPath's advanced machine learning research group, pushing the boundaries of AI.
- Benefits: Competitive salary, opportunities for mentorship, and a collaborative work environment.
- Other info: Dynamic team with opportunities to present at top conferences and grow your career.
- 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 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. Our commitment to employee growth is evident through mentorship opportunities, access to cutting-edge technology, and the chance to present at prestigious conferences, all while working in a dynamic environment that values kindness, motivation, and responsibility. Join us in our mission to advance general intelligence and make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the machine learning field. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, experiments, and any publications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research and how it relates to the role at UiPath. Practice common interview questions with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at UiPath.
We think you need these skills to ace Research Scientist 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 CV and cover letter. Tailor your application to reflect the specific skills and experiences that match our job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for machine learning shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at UiPath!
How to prepare for a job interview at UiPath Inc.
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest machine learning architectures and techniques. Be prepared to discuss your past research, including any papers you've published, and how they relate to the role. This shows that you’re not just familiar with the theory but can also apply it practically.
✨Show Off Your Experimentation Skills
Since this role involves designing and executing large-scale experiments, be ready to talk about your experimental intuition. Share specific examples of projects where you’ve taken ownership and driven them to completion, highlighting any challenges you faced and how you overcame them.
✨Communicate Clearly and Confidently
Excellent communication is key, especially when presenting your findings. Practice explaining complex concepts in simple terms, as you might need to collaborate with non-experts. Think about how you would present your research at a conference and be ready to demonstrate that skill.
✨Be a Team Player
This position requires collaboration with other researchers and teams. Highlight your experience mentoring others or working in diverse teams. Show that you’re kind, courteous, and motivated to help others succeed, as these soft skills are just as important as your technical abilities.
