Research Scientist, Machine Learning Efficiency

4 weeks ago


Sydney, New South Wales, Australia Google Full time
About the Role

We're seeking a highly skilled Research Scientist to join our team at Google, focusing on efficient architectures, training efficiency of foundational models, data efficiency, and inference efficiency. As a Research Scientist, you'll have the opportunity to collaborate with Google teams worldwide and advance in these areas, enabling fundamental breakthroughs and pioneering next-generation products.

Responsibilities
  • Develop fundamental advances in algorithms and foundational model architectures that improve the speed of training and generalization of deep learning models.
  • Develop fundamental advances to make inference with foundational models more efficient and flexible, including knowledge adoption and distillation techniques.
  • Work on data subset selection and more efficient ways to train with large data sets.
  • Improve the entire model deployment pipeline, including formulations for pre-training, instruction, and tuning, and Reinforcement Learning from Human Feedback (RLHF).
Requirements
  • PhD in Computer Science or a related technical field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects in Machine Learning (ML), ML Efficiency, ML Optimization, or a related field.
  • Experience with programming languages, such as Python or C/C++.
  • One or more scientific publication submissions for conferences, journals, or public repositories.
Preferred Qualifications
  • Experience in innovative research.
  • Experience as a leader within a research team.
  • Ability to effectively navigate ambiguity.


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