At a Glance
- Tasks: Lead research in reinforcement learning and agentic systems to enhance product experiences.
- Company: Join Canva, a leader in design technology with a focus on innovation.
- Benefits: Equity packages, inclusive leave policy, and flexible work environment.
- Other info: Virtual interviews focusing on skills and cultural fit within an inclusive company.
- Why this job: Make a real impact by developing innovative approaches in a dynamic team.
- Qualifications: PhD or equivalent experience in reinforcement learning, strong Python and PyTorch skills.
The predicted salary is between 60000 - 80000 € per year.
Canva is seeking a Senior Research Scientist to lead research in reinforcement learning and agentic systems. You will develop innovative approaches combining planning, tool use, and evaluation strategies to enhance product experiences.
The ideal candidate should have a PhD or equivalent experience along with a strong background in Python, PyTorch, and experimental design.
This role offers equity packages, an inclusive leave policy, and a flexible work environment. Interviews are conducted virtually, emphasizing skills and cultural fit within Canva.
Senior RL & MoE Research Scientist — Agentic AI in London employer: Canva
Canva is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Senior Research Scientist in Agentic AI. With a flexible work environment, generous equity packages, and a commitment to employee growth, Canva empowers its team members to thrive both personally and professionally while contributing to cutting-edge research in reinforcement learning. The company's emphasis on virtual interviews ensures a focus on skills and cultural fit, creating a supportive atmosphere for all employees.
StudySmarter Expert Advice🤫
We think this is how you could land Senior RL & MoE Research Scientist — Agentic AI in London
✨Tip Number 1
Get your research game on! Brush up on the latest trends in reinforcement learning and agentic systems. We want to see you not just know your stuff, but also be able to discuss how your innovative approaches can enhance product experiences.
✨Tip Number 2
Show off your coding skills! Make sure you're comfortable with Python and PyTorch, as these are key for the role. We recommend doing a quick project or two to demonstrate your expertise and creativity in experimental design.
✨Tip Number 3
Prepare for those virtual interviews! Research Canva’s culture and values, and think about how your background aligns with them. We’re all about finding the right fit, so be ready to share how you can contribute to our inclusive environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior RL & MoE Research Scientist — Agentic AI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, PyTorch, and experimental design in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing how your unique experiences and ideas can contribute to our mission at Canva.
Be Yourself:We’re all about cultural fit, so let your personality shine through in your application. Share your passion for reinforcement learning and agentic systems – we want to know what drives you!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Canva
✨Know Your Reinforcement Learning
Make sure you brush up on the latest trends and techniques in reinforcement learning. Be ready to discuss your previous projects and how they relate to agentic systems. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Technical Skills
Since a strong background in Python and PyTorch is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to reinforcement learning and ensure you can explain your thought process clearly.
✨Prepare for Cultural Fit Questions
Canva values inclusivity and collaboration, so expect questions that assess your fit within their culture. Think of examples from your past experiences where you've worked well in a team or contributed to a positive work environment. This will help you connect with the interviewers on a personal level.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about Canva's approach to research and development. Inquire about their current projects in agentic AI and how they envision the future of reinforcement learning. This shows your genuine interest in the role and the company.
