Research Scientist, Gemini Omni, DeepMind — Google Switzerland
- Location
- Zürich
- Contract
- full-time
- Posted
- Yesterday
Role overview
Minimum qualifications
PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
Experience with training generative models (Large Language Model (LLM), image, video).
- Minimum qualifications:
- PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
- Optimize model architectures and training pipelines for distributed training, maximizing compute efficiency across accelerator clusters (TPUs/GPUs).
- Design and train state-of-the-art generative models across multi-modal domains (image, video, and audio), leveraging modern architectures such as diffusion models, flow matching, and autoregressive frameworks.
- Experience with training generative models (Large Language Model (LLM), image, video).
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Main responsibilities
- Optimize model architectures and training pipelines for distributed training, maximizing compute efficiency across accelerator clusters (TPUs/GPUs).
- Design and train state-of-the-art generative models across multi-modal domains (image, video, and audio), leveraging modern architectures such as diffusion models, flow matching, and autoregressive frameworks.
- Develop and deploy reinforcement learning algorithms (e.g., RLHF, DPO, policy gradient methods) to align model behaviors, enhance generation quality, and improve multi-step reasoning capabilities.
- Drive efficient inference strategies through techniques such as model quantization, pruning, distillation, speculative decoding, and kernel optimization to minimize latency and memory footprint in production.
- Bridge research and production engineering by translating novel generative AI breakthroughs into scalable, robust algorithms and evaluation benchmarks.
Key requirements
- PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
- Experience with training generative models (Large Language Model (LLM), image, video).
- Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).
- Experience conducting research.
- Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
What the company offers
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Company and context
- As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
- As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
- From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
- As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
- As a part of the Research Scientist, your role involves applying scientific expertise to advance GDM's mission.
- You will work independently on research assignments, driving project segments, which involves conducting literature reviews, using scientific methods and independent judgment to develop new methods solving challenging problems, balancing short-term and long-term goals, taking engineering approaches to measure, validate and evaluate the impact of research.Artificial intelligence will be one of humanity’s most transformative inventions.
- At Google 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 are pushing the boundaries across multiple domains.
- Our global teams offer various learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.
Additional details
- Proven experience conducting research in industry
Notes and original content
- About the job
- Responsibilities
Questions about this listing
What salary does Google Switzerland offer for this role?
Google Switzerland lists CHF 79'000 - 134'500 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Google Switzerland offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Google Switzerland during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Google Switzerland?
Use the "Apply now" button on this page — it links directly to Google Switzerland's original listing at google.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
