Research Engineer, AI for Weather and Energy jobs in United States
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Google DeepMind · 11 hours ago

Research Engineer, AI for Weather and Energy

Google DeepMind is committed to advancing artificial intelligence for public benefit and scientific discovery. The role focuses on developing and scaling novel algorithmic methods to address sustainability challenges, particularly in weather, climate, and energy domains.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
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Growth Opportunities

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

Qualification

Deep LearningMachine LearningSoftware EngineeringJAXTensorFlowPyTorchData ProcessingPythonRemote SensingEnvironmental Sustainability

Required

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 is essential
Experience with either large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure

Preferred

Core contributor to OSS projects
Experience with Python and its ecosystem
Experience with remote sensing data
Experience translating research innovations into product applications
Commitment/experience/expertise in weather/environmental sustainability and/or allied areas (e.g., fluid dynamics, complex systems, combinatorial optimization, remote sensing)
A proven track record of publications in top-tier conferences and/or journals

Benefits

Bonus
Equity
Benefits

Company

Google DeepMind

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Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Funding

Current Stage
Late Stage
Total Funding
unknown
2014-01-26Acquired
2011-02-01Series A

Leadership Team

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Demis Hassabis
Co-Founder & CEO
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Aaron Saunders
VP of Hardware Engineering, Robotics
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