Forschung Scientist, Gemini Omni, DeepMind — Google Switzerland
- Ort
- Zürich
- Vertrag
- full-time
- Veröffentlicht
- Gestern
Rollenüberblick
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.
Hauptaufgaben
- 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.
Wichtige Anforderungen
- 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).
Was das Unternehmen bietet
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Unternehmen und Kontext
- 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.
Weitere Details
- Proven experience conducting research in industry
Notizen und Originalinhalt
- About the job
- Responsibilities
Fragen zu dieser Stellenanzeige
Welches Gehalt bietet Google Switzerland für diese Stelle?
Google Switzerland gibt CHF 79'000 - 134'500 brutto pro Jahr für diese Position in Zürich an. Dies ist das im Original-Inserat veröffentlichte Gehalt (oder, falls der Arbeitgeber keinen Betrag nennt, eine realistische Schätzung für Rolle und Branche) — der Rechner auf dieser Seite berechnet daraus Ihr tatsächliches Netto nach Grenzgänger-Steuer und Sozialabgaben.
Ist das eine Vollzeitstelle, und welchen Vertragstyp bietet Google Switzerland?
Diese Stelle ist eine Vollzeit-Position. Der hier angezeigte Vertragstyp stammt direkt aus dem Original-Inserat des Arbeitgebers; klären Sie genaue Arbeitszeiten, Kündigungsfrist und Probezeit während des Bewerbungsprozesses mit Google Switzerland, da diese Details auch innerhalb derselben Vertragskategorie variieren können.
Brauche ich eine Grenzgänger-Bewilligung für eine Stelle im Kanton Zürich?
EU/EFTA-Bürger mit Wohnsitz in der Grenzzone des an den Kanton Zürich angrenzenden Landes können eine G-Bewilligung beantragen; der Schweizer Arbeitgeber reicht sie nach Vertragsunterzeichnung beim Migrationsamt dieses Kantons ein. Grenzzonen-Regeln und Bearbeitungszeiten variieren je nach Nachbarland und Kanton — klären Sie die Details mit dem Migrationsamt des Kantons Zürich oder mit HR während der Bewerbung.
Wie bewerbe ich mich für diese Stelle bei Google Switzerland?
Nutzen Sie die Schaltfläche "Jetzt bewerben" auf dieser Seite — sie führt direkt zum Original-Inserat von Google Switzerland unter google.com, sodass Ihre Bewerbung direkt im Bewerbermanagementsystem des Arbeitgebers landet. Frontaliere Ticino sammelt oder leitet keine Bewerbungen selbst weiter.
