At a Glance
- Tasks: Develop and improve machine learning models to tackle complex challenges.
- Company: Join UiPath's advanced machine learning research group focused on general intelligence.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic team atmosphere await you.
- Why this job: Contribute to groundbreaking research and push the boundaries of AI technology.
- Qualifications: PhD in Machine Learning or equivalent experience, strong programming skills, and a publication record.
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 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 and the chance to present at leading conferences, all while working in a dynamic environment that values kindness, motivation, and responsibility. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a community of like-minded professionals dedicated to advancing general intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist: Pushing ML Toward General Intelligence
✨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 gives us a chance to demonstrate our expertise and passion for the field.
✨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 team.
We think you need these skills to ace Research Scientist: Pushing ML Toward General Intelligence
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 in your previous roles!
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 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. Use straightforward language to explain your achievements and skills. We appreciate honesty and clarity, so don’t be afraid to show your personality!
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 us you’re genuinely interested in 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 challenges you've faced in previous projects and how you overcame them. Highlight your experimental intuition and programming skills by sharing examples of large-scale experiments you've designed and executed.
✨Showcase Collaboration and Communication
Since this role involves working with various teams, be ready to talk about your experiences collaborating with others. Share examples of how you’ve effectively communicated complex ideas to non-experts or mentored team members.
✨Stay Updated and Engage with Current Research
Familiarise yourself with the latest advancements in machine learning, especially those related to multi-modal models and general intelligence. Being able to discuss recent papers or breakthroughs will demonstrate your commitment to staying at the forefront of the field.
