Manager, Applied AI Engineering
Google DeepMind · London, UK
Frontier labonsitemanager
At a glance
Highlights
- Lead development of novel apps powered by Google’s generative AI models.
- Translate cutting-edge AI research into real-world products for billions.
- Build and ship 0-to-1 products while leading rapid feature iteration.
Ideal candidate
An ML engineering leader who thrives in fast-moving, early-stage environments and loves turning research into shipped products. Collaborative and product-driven, motivated by AI impact at global scale.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
- 8 years of software development experience including system design, data structures, and algorithms
- 7 years leading technical project strategy, ML design, and industry-scale ML infrastructure
- 5 years in technical leadership and people management/team leadership
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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