Research Scientist, Post-AGI Research at DeepMind

London, England, United Kingdom

DeepMind Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, ResearchIndustries

Skills

Key technologies and capabilities for this role

Machine LearningStatisticsResearchComputer ScienceMathematicsApplied Statistics

Questions & Answers

Common questions about this position

What qualifications are required for the Research Scientist role?

A minimum PhD/DPhil in computer science, mathematics, applied stats, machine learning or similar industry experience is required, along with knowledge of machine learning and statistics, proven experience with Large Language Models (LLMs), and expertise in focus areas like economics, law, health/wellbeing, machine consciousness, AGI to ASI, or education.

What is the salary for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the culture like at Google DeepMind?

Google DeepMind has built a unique culture and work environment where long-term ambitious research can flourish, with a team of scientists, engineers, machine learning experts and more working together to advance AI.

What makes a strong candidate for this Research Scientist position?

Strong candidates thrive in ambiguity, demonstrate flexibility, have great communication and interpersonal skills, a passion for AI, and a strong interest in ensuring AI benefits humanity, with advantageous experience in experimental ideas, new methodologies, and cross-functional collaboration.

DeepMind

Develops artificial general intelligence systems

About DeepMind

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees

Benefits

Performance Bonus

Risks

Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.

Differentiation

DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

Upsides

AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.

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