InfoTasks Productivity Agents
Google DeepMind · Zürich, Switzerland
Frontier labonsite
At a glance
Highlights
- Build multi-agent pipelines and reasoning agents for productivity.
- Scale automated evaluations for models in real-world conditions.
- Advance AI to solve complex global challenges for billions.
Ideal candidate
Collaborative engineer excited by AI agents for productivity who thrives in ambiguous research environments and cares about safe, beneficial AI for billions.
Requirements
- Experience building systems powered by LLMs or other ML models
- Experience in software development in training, developing or applying machine learning models
- Strong AI development knowledge, training GenAI models
- Strong software engineering fundamentals with track record shipping production-quality code
- Strong collaboration and communication skills across research, engineering and product teams
- Interest in AI agents and how they can make people more productive
- Comfortable working in ambiguous, changing research and product environment
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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