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- Tasks: Push the boundaries of reinforcement learning and improve product features hands-on.
- Company: Leading design technology firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Why this job: Join a dynamic team and make a real impact in AI research.
- Qualifications: Strong background in machine learning, Python, and PyTorch required.
- Other info: Collaborate with multidisciplinary teams in an exciting environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading design technology firm in London seeks a Senior Research Scientist to push the boundaries of reinforcement learning and agentic systems. You will work hands-on across the agent stack, improving product features and collaborating with multidisciplinary teams.
Ideal candidates will have:
- a robust background in machine learning,
- proficiency in Python and PyTorch,
- a record of published research or applied ML projects.
This role offers a competitive salary and flexible working options.
Senior AI Scientist: RL & MoE Mastery | Equity in London employer: Canva
Contact Detail:
Canva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist: RL & MoE Mastery | Equity in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work in reinforcement learning and agentic systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your past research and projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, so make sure your application stands out and showcases your passion for AI and machine learning.
We think you need these skills to ace Senior AI Scientist: RL & MoE Mastery | Equity in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with reinforcement learning and agentic systems. We want to see your proficiency in Python and PyTorch, so don’t hold back on showcasing your technical skills!
Research Matters: If you've got published research or applied ML projects, include them! We love seeing how you’ve pushed the boundaries in your field, so make sure to mention any relevant work that demonstrates your expertise.
Tailor Your Application: Don’t just send a generic application. We’re looking for candidates who understand our mission and values. Take the time to tailor your CV and cover letter to reflect how you can contribute to our team.
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’s super easy!
How to prepare for a job interview at Canva
✨Know Your Stuff
Make sure you brush up on reinforcement learning and agentic systems. Be ready to discuss your previous projects in detail, especially those involving Python and PyTorch. This shows you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Research
If you've got published research, be prepared to talk about it! Highlight the key findings and how they relate to the role. This demonstrates your expertise and passion for the field, which is crucial for a Senior AI Scientist position.
✨Collaborative Mindset
Since you'll be working with multidisciplinary teams, emphasise your teamwork skills. Share examples of how you've successfully collaborated with others in past projects. This will show that you can thrive in a diverse environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to AI and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a win-win!