Data Scientist with Expertise in Deep Learning
2 days ago
As a Research Scientist at Google DeepMind, you will contribute to groundbreaking fundamental research and deployment in large scale pre-training. You will work on careful empirical research to validate novel research ideas to improve performance of Gemini models.
About UsWe're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are the highest priority.
The Job DescriptionThis is a full-time position that requires a strong empirical and theoretical understanding of deep learning with a focus on data, as well as strong engineering skills and understanding of distributed systems.
- You will conduct careful empirical research to validate novel research ideas to improve performance of Gemini models.
- You will develop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.
- You will dive deep into specific areas of the pre-training stack to improve our understanding of large scale training dynamics.
- You will collaborate with the wider Gemini team, engaging closely with the Model, Infrastructure and the Post-Training teams.
To be successful as a Research Scientist at Google DeepMind, you should have a PhD in machine learning or closely related field, or similar experience. You should also have a proven track record of large scale deep learning research with hands-on experience with Python and neural network training.
Average salary range: $250,000 - $350,000 per year.
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