Research Scientist

• Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using your broad machine learning experience.
  
• Collaborate with researchers and machine learning engineers to identify and develop novel machine learning approaches to solve meaningful strategic problems.
  
• Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing.
  
• Suggest and engage in team collaborations to meet research goals for the wider science programme.
  

Minimum qualifications:

• PhD in Machine Learning or equivalent research/industry experience.
• Experience in scripting languages and pipelining tools.
• Experience in programming.
• Quantitative experience in maths and statistics.
• Published work in a ML conference on the subject of robustness or image or video generation or classification.
  

Preferred qualifications:

• Experience in applying machine learning techniques to problems surrounding robust and trustworthy deployments of models.
• Experience with image, audio or text watermarking.
  
• Demonstrated success in delivering high quality research impact.
  
• Passion for AI.

Our team accelerates research in strategic projects that enable trustworthy, robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID, and we are actively pursuing other exciting projects across many disciplines.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

• PhD in Machine Learning or equivalent research/industry experience.
• Experience in scripting languages and pipelining tools.
• Experience in programming.
• Quantitative experience in maths and statistics.
• Published work in a ML conference on the subject of robustness or image or video generation or classification.