Software Engineer, Machine Learning, Gemini

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Description For 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 will have strong foundations in computer science and machine learning, with experience in large language models and AI systems. This role offers significant external impact and tremendous potential for growth within Google's innovative environment.

The team is at the forefront of conversational AI development, working on tools that enable users to collaborate with generative AI to augment imagination, expand curiosity, and enhance productivity. You'll be working with cutting-edge technologies and have the opportunity to shape the future of AI interactions.

Google offers a dynamic work environment where engineers are encouraged to be versatile and display leadership qualities. You'll be part of a team pushing the boundaries of technology, working on projects critical to Google's needs with opportunities to switch teams as you grow.

The position requires collaboration with research teams, deep technical expertise in machine learning, and strong data analysis skills. You'll be working in a high-stakes, high-visibility environment where your contributions will directly impact billions of users worldwide.

Last updated a month ago

Responsibilities For Software Engineer, Machine Learning, Gemini

  • Collaborate with Research teams to understand technologies, adapting and integrating them into Gemini/Bard to drive continuous improvement
  • Leverage Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Preference Optimization (IPO) to quality hill climb
  • Conduct data analysis to uncover insights, pinpoint opportunities, and inform the strategic development of a data flywheel

Requirements For Software Engineer, Machine Learning, Gemini

Python
  • Bachelor's degree in Computer Science, or equivalent practical experience
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
  • 2 years of experience with data structures or algorithms
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing

Benefits For Software Engineer, Machine Learning, Gemini

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Equal opportunity employer
  • Accommodation for special needs
  • Comprehensive benefits package

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