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 contributing to technologies that handle information at massive scale, extending well beyond web search.

The team's work encompasses building necessary infrastructure and implementing multimodal model capabilities and features. You'll be working in a high-stakes, high-visibility environment that requires excellent data analysis skills and the ability to thrive under pressure. This is an opportunity to be part of developing conversational AI tools that enhance user productivity and imagination.

Google offers a collaborative environment where you'll work with research teams to drive continuous improvement in Gemini/Bard. The company is committed to building a diverse workforce and creating a culture of belonging, offering equal employment opportunities to all candidates.