Research Scientist Large Scale Pre-Training Data
Research Scientist Large Scale Pre-Training Data
Posted on :
20-01-2025
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1 Vacancy
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Job Description
Job Title: Research Scientist Large Scale PreTraining Data
Job Location: London UK
Job Location Type: Hybrid
Job Contract Type: Fulltime
Job Seniority Level: Associate
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Snapshot
At Google DeepMind we've built a unique culture and work environment where longterm ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pretraining.
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind we’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 and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The Role
We’re looking for a Research Scientist with 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.
Key responsibilities:
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:
Snapshot
At Google DeepMind we've built a unique culture and work environment where longterm ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pretraining.
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind we’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 and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The Role
We’re looking for a Research Scientist with 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.
Key responsibilities:
- Conduct careful empirical research to validate novel research ideas to improve performance of Gemini models.
- Develop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.
- Dive deep into specific areas of the pretraining stack to improve our understanding of large scale training dynamics.
- Collaborate with the wider Gemini team engaging closely with the Model Infrastructure and the PostTraining teams.
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:
- A PhD in machine learning or closely related field or similar experience.
- A proven track record of large scale deep learning research with handson experience with Python and neural network training (publications opensource projects relevant work experience …).
- An indepth knowledge of large scale training dynamics.
- Ability to communicate technical ideas effectively e.g. through discussions whiteboard sessions written documentation.
- Experience with large scale data processing pipelines.
- Experience with distributed systems and large scale deep learning performance optimisation.
- Experience with running large scale data processing pipelines.
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Employment Type
Full Time
Key Skills
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