OpenNash Jobs
Alphabet · Zürich, Switzerland

InfoTasks Productivity Agents, DeepMind

Zürich, Switzerland

Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.

Apply on Alphabet’s careers site →

Job description

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.

More jobs at Alphabet

Cloud Abuse Security Engineer

Zürich, Switzerland

Similar jobs at other companies

Front Office Agents

Hilton Worldwide Holdings · Chon Buri, East, Thailand

Cloud Solution Architecture - Copilot & Agents

Microsoft · Finland, Multiple Locations

WFM Engineer II (Productivity)

TJX Cos · Hyderabad, Telangāna

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.