Reinforcement Learning Research Scientist

Reinforcement Learning Research Scientist

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
WeAreTechWomen

At a Glance

  • Tasks: Conduct large-scale experiments and develop novel algorithms in reinforcement learning.
  • Company: Join Google DeepMind, a leader in AI research and innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a dynamic team pushing the boundaries of technology.
  • Why this job: Make a real impact in AI while collaborating with top scientists worldwide.
  • Qualifications: Strong background in machine learning and experience in research.

The predicted salary is between 63000 - 77000 Β£ per year.

Google DeepMind is seeking a Research Scientist to advance reinforcement learning through large-scale experiments, novel algorithms, and rigorous evaluations. You will design, run, and analyze end-to-end experiments, publish findings, and contribute to a world-class research program across machine learning, NLP, and systems, while collaborating with scientists globally.

You will set up experiments, build infrastructure, participate in peer-reviewed publications, and help shape product-relevant outcomes.

Reinforcement Learning Research Scientist employer: WeAreTechWomen

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

We think you need these skills to ace Reinforcement Learning Research Scientist

Reinforcement Learning
Large-Scale Experiments
Algorithm Development
Data Analysis
Machine Learning
Natural Language Processing (NLP)
Experimental Design