Job Summary
The role involves creating advanced reinforcement learning solutions along with post-training techniques aimed at elevating the functionality of Gemini models. The position requires maintaining and expanding essential reinforcement learning libraries and frameworks, with a strong emphasis on collaboration across various teams to implement models in vital product domains.
Responsibilities
- Develop cutting-edge reinforcement learning techniques to improve Gemini models.
- Enhance post-training methods to optimize model performance.
- Maintain and scale critical RL libraries and frameworks.
- Work collaboratively with cross-functional teams to incorporate models into essential product areas.
Qualifications
- Bachelor’s degree in a relevant field.
- Minimum of 8 years of software development experience.
- Strong expertise in reinforcement learning and machine learning.
- Preferred: Master’s degree or PhD in a related discipline.
- Experience in technical leadership within complex, multi-disciplinary environments.
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