Google logo

Software Engineer III, Cloud AI Research, Co-Scientist

Google
1 day ago
Full-time
On-site
Zürich, ZH

JobsCloseBy Editorial Insights

Google's Software Engineer III, Cloud AI Research, Co-Scientist in Zürich is a role for engineers who can own end-to-end projects on the Cloud stack, build agentic AI systems, and collaborate with scientists and academia to accelerate discovery. Ideal candidates hold a Bachelor’s or equivalent, with 2 years Python or 1 year with an advanced degree, plus at least 1 year in ML infrastructure and 1 year in Research and AI, with exposure to speech, reinforcement learning, or related ML fields. Preferred: 2+ years in data structures and algorithms, C++ experience, system design, and distributed computing, plus a track record of publications. To apply, tailor your resume to show end-to-end implementation, deployment, data analysis, and collaboration; include project outcomes and links to code or papers.


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience with Research and Artificial Intelligence.

Preferred qualifications:

  • 2 years of experience with data structures and algorithms.
  • Experience with software development in C++.
  • Experience with system design, distributed computing, machine learning.
  • Experience with Research publications.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Cloud AI Research - Co-Scientist is a research team with the mission to accelerate scientific discovery with AI. In this role, you will develop a system for scientific discovery which entails literature research, data analysis, hypothesis generation and validation. The ultimate goal is to build a system that assists scientists from diverse fields with their hardest problems. You will use Google’s latest AI tools and models and have the opportunity to collaborate with scientists in Google and from universities and partner labs.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Cloud AI Research - Co-Scientist is a research team with the mission to accelerate scientific discovery with AI. In this role, you will develop a system for scientific discovery which entails literature research, data analysis, hypothesis generation and validation. The ultimate goal is to build a system that assists scientists from diverse fields with their hardest problems. You will use Google’s latest AI tools and models and have the opportunity to collaborate with scientists in Google and from universities and partner labs.

Responsibilities

  • Develop projects and components end-to-end on the Cloud software stack.
  • Build, and deploy agentic AI systems, robust tool-use mechanisms, and multi-agent workflows.
  • Analyze datasets, make data driven decisions, develop quality criteria and scoring rubics for AI systems.
  • Collaborate with scientists and researchers across Google DeepMind, Google Research, and prestigious external academic partners to publish original research.