Lead RL Scientist β€” Pioneering AI Research in London

Lead RL Scientist β€” Pioneering AI Research in London

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Talanto

At a Glance

  • Tasks: Lead groundbreaking AI research and develop cutting-edge reinforcement learning algorithms.
  • Company: Join Google DeepMind, a leader in AI innovation based in London.
  • Benefits: Competitive salary, access to advanced resources, and opportunities for impactful research.
  • Other info: Collaborative environment with endless opportunities for growth and learning.
  • Why this job: Be at the forefront of AI technology and make a significant impact on the future.
  • Qualifications: PhD in ML or equivalent experience, strong coding skills, and independent research track record.

The predicted salary is between 70000 - 90000 Β£ per year.

Google DeepMind in London, UK, seeks a Research Scientist in Reinforcement Learning to develop, test, and scale fundamental RL algorithms with rigorous experimental methods. You will own end-to-end research projects, build scalable infrastructure, and communicate findings to advance state-of-the-art AI research.

Applicants should have a PhD in ML or equivalent practical experience, strong coding skills in modern ML stacks, and a proven track record of independent research with impactful.

Lead RL Scientist β€” Pioneering AI Research in London employer: Talanto

Almedia is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and real-time personalization. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while collaborating with cross-functional teams in the vibrant city of London. The hybrid working arrangements and commitment to impactful projects make Almedia a rewarding place to advance your career in AdTech.

Talanto

Contact Details:

Talanto Recruitment Team

We think you need these skills to ace Lead RL Scientist β€” Pioneering AI Research in London

Reinforcement Learning
Experimental Methods
Research Project Management
Scalable Infrastructure Development
Communication Skills
PhD in Machine Learning
Coding Skills in Modern ML Stacks