InfoTasks Productivity Agents, DeepMind

Google LLC; Zürich; On-site; CHF 150,000 - 210,000; Full time

Job summary

DeepMind in Zürich seeks engineers and researchers to help build productivity-oriented AI agents and GenAI-driven systems. You will design scalable ML pipelines, train and evaluate models, and contribute production-ready code.

The role emphasizes collaboration across research, engineering and product teams in a fast-changing, research-driven environment. Excellent English communication is required for global collaboration.

Qualifications

• Experience building systems powered by LLMs or other ML models.
• Experience in software development in training, developing or applying machine learning models.
• Strong collaboration and communication across research, engineering and product teams.

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 real-world conditions.
• Maintain secure execution environments to evaluate agent trajectories and enable large-scale distillation and training.

Skills

LLM systems design

ML model training

Software development

Cross-team collaboration

Tools

Python

Bash

Job description

Share InfoTasks Productivity Agents, DeepMind

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.