- Mountain View, CA
- Full-Time
- 30 days ago
Gemini Post-training Software Engineer, DeepMind.
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Gemini Post-training Software Engineer, DeepMind: our view in 3 lines...
- The Role:This role is for a software engineer working on post-training for Gemini at Google DeepMind, with a focus on AI model improvement and deployment.
- The Person:The person will make core contributions to Gemini, identify model areas of improvement, train and evaluate agents across digital environments, and focus on multi-step reinforcement learning in multimodal environments.
- Requirements:The ideal candidate has a bachelor’s degree in Computer Science or a similar field, five years of experience designing, training, and evaluating machine learning models, Python programming, TensorFlow or similar, and experience with Large Language Models, NLP, or Generative AI.
About the role
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.
About the job:
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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.