Research Engineer - Generative AI & Diffusion Models

Google DeepMind; Zürich; Hybrid; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google DeepMind seeks a research-focused Software Engineer to scale research ideas from prototyping to deployment, contributing across generative media, multimodal understanding, and large-scale model optimization.

The role emphasizes applying innovative research to real-world AI challenges, with collaboration across cross-functional teams and partnerships with academic institutions to publish work and accelerate product impact.

Qualifikationen

• Master's degree or equivalent practical experience in CS, mathematics, applied statistics, or ML.
• Experience with TensorFlow or ML frameworks (e.g. JAX, PyTorch).
• Industry experience from PoC to production and deployment.
• Experience training diffusion models.
• Experience conducting applied research.

Aufgaben

• Apply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment.
• Develop cutting-edge techniques in Generative Media (image, video, and audio).
• Optimize algorithms and models for efficient inference.
• Advance capabilities in Multimodal Understanding.
• Perform comprehensive model optimization to enhance performance and scale.

Kenntnisse

TensorFlow

ML frameworks

Applied research

Diffusion models

Ausbildung

Master's degree in CS/math/ML

Tools

JAX

PyTorch

Data pipelines

Large-scale training

Performance optimization

Jobbeschreibung

Google DeepMind seeks a research-focused Software Engineer to scale research ideas from prototyping to deployment, contributing across generative media, multimodal understanding, and large-scale model optimization.

The role emphasizes applying innovative research to real-world AI challenges, with collaboration across cross-functional teams and partnerships with academic institutions to publish work and accelerate product impact.