Robotics AI Scientist: Pre-Training & Data Quality Equity

Google LLC

Greater London

Vor Ort

GBP 120.000 - 180.000

Vollzeit

vor 5 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Google DeepMind in London seeks a Research Scientist to lead robotics pre-training and data quality initiatives. You will set up large-scale tests, deploy ideas rapidly, and apply cutting-edge theories to develop new architectures and robust robotic systems.

You will manage datasets, label data, and optimize mixtures for training non-robotics frontier models while collaborating with interdisciplinary teams across the globe. This role emphasizes practical deployment and real-world impact.

Qualifikationen

  • PhD or equivalent practical experience in a technical field.
  • Experience with algorithmic architectures, data sources, and training/inference for generative multimodal models in robotics.
  • Experience optimizing models and systems, including performance tuning and debugging.

Aufgaben

  • Drive data quality, acquisition, labeling, and mixture optimization for robotics foundation models.
  • Coordinate training runs, improve training recipes, and hill-climb model performance against benchmarks.
  • Build and maintain software tools to iterate on research ideas and verify data quality through robot policy training.
  • Contribute to broader research areas including reinforcement learning, vision-language-action modeling, world-action models, and simulation.

Kenntnisse

Robotics research
Multimodal models
Model optimization
Experimentation

Ausbildung

PhD in a technical field

Jobbeschreibung

Google DeepMind in London seeks a Research Scientist to lead robotics pre-training and data quality initiatives. You will set up large-scale tests, deploy ideas rapidly, and apply cutting-edge theories to develop new architectures and robust robotic systems.

You will manage datasets, label data, and optimize mixtures for training non-robotics frontier models while collaborating with interdisciplinary teams across the globe. This role emphasizes practical deployment and real-world impact.

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