Gemini Post-training Software Engineer, DeepMind

Role Overview

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
• Identify model areas of improvement.
• Train and evaluate agents across various digital environments.
• Focus on multi-step reinforcement learning in multimodal, digital environments.

Requirements & Qualifications

Minimum qualifications:

• Bachelor’s degree in Computer Science, a similar field, or equivalent practical experience.
• 5 years of experience designing, training, and evaluating machine learning models.
• Experience in Python programming.
• Experience in test writing for ML purposes either in Tensor flow or similar for post-silicon data collection, and pre-silicon modeling and correlation.
• Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:

• Experience in building, scaling, and training/fine-tuning AI models and systems.
• Deep expertise in Reinforcement Learning.

Application Instructions

Apply directly on Google Careers at Gemini Post-training Software Engineer, DeepMind↗.

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