Research Scientist, Information Quality at DeepMind

Mountain View, California, United States

DeepMind Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Machine Learning, ResearchIndustries

Requirements

  • PhD in Computer Science, Statistics, or a related field
  • Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
  • Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding

Responsibilities

  • Drive the projects by defining key research questions
  • Design, implement, and evaluate experiments to provide clear answers
  • Contribute to real world impact, by landing your research in Google products and services
  • Publish research findings in top academic conferences and journals
  • Stay up-to-date with the latest advancements in the field
  • Collaborate with internal and external scientific domain experts
  • Formulate metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis
  • Collaborate with product teams to drive research
  • Develop tools and frameworks to accelerate research

Skills

Machine Learning
AI
Multimodal AI
Media Authenticity
Provenance
Exploratory Data Analysis
Rapid Prototyping
ML Techniques
Research
Open Source Intelligence

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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