Research Engineer, AI for Weather and Energy at DeepMind

Mountain View, California, United States

DeepMind Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Sustainability, Weather, EnergyIndustries

Requirements

  • BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or equivalent practical experience
  • Strong background in deep learning, with proven experience with relevant architectures (e.g., Transformers, GNNs, etc)
  • Strong background in machine learning foundations (esp. supervised learning, probabilistic modeling, graph-based learning, and/or optimization)
  • Excellent software engineering skills with a proven ability to build robust and scalable systems
  • Proficiency in deep learning frameworks like JAX, TensorFlow, or PyTorch
  • Experience with either large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure

Responsibilities

  • Design, implement, scale and evaluate state-of-the-art deep learning models (e.g., Transformers, GNNs) and software prototypes for sustainability-related problems
  • Build robust and scalable data processing and training pipelines to enable rapid research iterations
  • Report and present findings and developments clearly and efficiently, both internally and externally
  • Contribute to team collaborations to meet ambitious research and product goals
  • Engage with application and product needs, to inform research and engineering decisions

Skills

Deep Learning
Machine Learning
AI Research
Weather Forecasting
Climate Modeling
Model Prototyping
Model Scaling
Model Deployment
Graph Neural Networks
Software Engineering

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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