Software Engineer, Machine Learning, Gemini

Google is seeking a Machine Learning Software Engineer to join their Gemini team in Zürich. This role focuses on multimodal efforts across Gemini, including image retrieval, understanding, and generation. The position involves deep modeling work with Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Identity Preference Optimization (IPO).

The ideal candidate should have a strong foundation in Computer Science with at least 2 years of experience in software development and machine learning. Experience with large language models, supervised fine-tuning, and reinforcement learning is highly valued. The role offers significant external impact and growth potential.

As part of Google's engineering team, you'll work on critical projects with opportunities to switch teams as the business evolves. The position requires versatility, leadership qualities, and enthusiasm for tackling new problems across the full-stack. You'll be part of a team that's pushing the boundaries of AI technology, working on Gemini - a conversational AI tool that helps users collaborate with generative AI to augment imagination, expand curiosity, and enhance productivity.

The role combines cutting-edge machine learning research with practical implementation, requiring both technical expertise and analytical skills. You'll be working in a high-stakes, high-visibility environment where your work will directly impact billions of users worldwide. This is an excellent opportunity for someone passionate about machine learning and eager to work at the forefront of AI technology development.