Machine Learning Engineer, Gemini

Google is seeking a Machine Learning Engineer for their Gemini project, a conversational AI tool that enables users to collaborate with generative AI. This role is part of Google's software engineering team, which develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

As a Machine Learning Engineer, you will:

• Research and productionize state-of-the-art post-training and inference-time techniques
• Investigate the next generation of model improvements
• Collaborate and share results with the broader team
• Operate in a high-reward and fast-paced environment

The ideal candidate should have:

• A Bachelor's degree in Computer Science or related field
• 2 years of experience with NLP/LLMs
• Experience with ML models, data handling, quality metrics, and iterations

Preferred qualifications include:

• Master's degree or PhD in ML
• Experience with RL modeling
• Experience with large-scale distributed model training, MLOps, and ML infrastructure
• Strong collaboration and communication skills
• A track record of pushing state-of-the-art in ML, particularly in LLMs

Google offers a dynamic work environment where engineers can switch teams and projects as they grow. The company is committed to diversity, equality, and inclusion, providing equal opportunities to all applicants and employees.

Join Google's team in Zürich, Switzerland, and be part of shaping the future of AI and machine learning technologies that impact billions of users worldwide.