InfoTasks Productivity Agents, DeepMind

DeepMind Technologies Limited; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

DeepMind Technologies Limited in Switzerland is seeking researchers and engineers to advance AI systems that operate with large language models and other ML models. You will contribute to building scalable, secure pipelines and evaluation frameworks across research and product teams.

We value strong software engineering fundamentals, collaboration, and the ability to work in an evolving research environment. This role offers the opportunity to impact AI capabilities used worldwide.

Qualifications

• Experience building systems powered by LLMs or other ML models.
• Experience in software development in training, developing or applying machine learning models.

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.

Skills

LLM systems

ML model development

Software engineering

Cross-team collaboration

Job description

• Experience building systems powered by LLMs or other ML models.
• Experience in software development in training, developing or applying machine learning models.

Minimum qualifications:

• Experience building systems powered by LLMs or other ML models.
• Experience in software development in training, developing or applying machine learning models.

Preferred qualifications:

• Strong AI development knowledge, training GenAI models.
• Strong software engineering fundamentals, with a track record of 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 an ambiguous, changing research and product environment.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .