Recherche Scientist, Gemini Omni, DeepMind — Google Switzerland
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- Hier
Vue d’ensemble du poste
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.
Responsabilités principales
- 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.
Exigences principales
- 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).
Ce que l’entreprise offre
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Entreprise et contexte
- 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.
Détails supplémentaires
- Proven experience conducting research in industry
Notes et contenu original
- About the job
- Responsibilities
Questions sur cette offre
Quel salaire propose Google Switzerland pour ce poste ?
Google Switzerland indique CHF 79 000 - 134 500 bruts par an pour ce poste à Zürich. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose Google Switzerland ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec Google Switzerland pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zurich ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zurich peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zurich ou avec les RH pendant la candidature.
Comment postuler à ce poste chez Google Switzerland ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de Google Switzerland sur google.com, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
