InfoTasks Productivity Agents, DeepMind
ZürichPosted 3d ago
About the role
Role at DeepMind focused on building and evaluating productivity agents powered by AI/ML, with responsibilities around multi-agent pipelines, evaluation, and secure execution environments.
Responsibilities
- Build and optimize multi-agent hierarchical pipelines and cross-application reasoning agents for productivity agents.
- Develop, scale, and maintain automated evaluation raters to assess model capabilities under complex, real-world conditions.
- Maintain secure execution environments (Python Workspace API harnesses, Bash/gws CLI) to evaluate agent trajectories hermetically, and allow for large-scale distillation and training in the environments.
Qualifications
- Experience building systems powered by LLMs or other ML models.
- Experience in software development in training, developing or applying machine learning models.
Skills
Required:LLM/ML model experienceSoftware development in ML
Nice to have:AI development knowledgeSoftware engineering fundamentalsCollaboration and communicationInterest in AI agentsAdaptability in ambiguous environments
Last updated Oct 23, 2026. Interested? Apply on the company site.
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