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

Key technologies and capabilities for this role

Deep LearningMachine LearningAI ResearchWeather ForecastingClimate ModelingModel PrototypingModel ScalingModel DeploymentGraph Neural NetworksSoftware Engineering

Questions & Answers

Common questions about this position

What is the location for this Research Engineer role?

The position is based in San Francisco.

What salary or compensation does this role offer?

This information is not specified in the job description.

What key skills are required for this position?

Candidates need strong algorithm-design and programming skills, expertise in building robust scalable software systems for machine learning, and experience with modern machine learning architectures like Transformers and GNNs, scaling models, and optimizing throughput.

What is the company culture like at Google DeepMind?

Google DeepMind has a unique culture and work environment where long-term ambitious research can flourish, valuing diversity of experience, knowledge, backgrounds, and perspectives, with a commitment to equal employment opportunities.

What makes a strong candidate for this Research Engineer role?

Strong candidates are creative thinkers with expertise in or passion for environmental sustainability, who excel at designing, implementing, scaling, and evaluating state-of-the-art deep learning models like Transformers and GNNs, and building scalable data processing pipelines.

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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