Research Scientist, Deep Learning, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Research Scientist at Google DeepMind focused on advancing AI development and solving complex global challenges through deep learning models. The role involves designing, implementing, and evaluating complex deep learning models, building prototypes, and publishing high-quality research. Requires a PhD and experience with deep learning frameworks.

What you'd actually do

  1. Design, implement, and evaluate complex deep learning models. Build the prototypes that prove the theory.
  2. Publish high-quality research at venues (NeurIPS, ICML, ICLR, etc.) while maintaining a focus on tangible algorithmic improvements.

Skills

Required

  • PhD degree in Computer Science, a related field, or equivalent practical experience
  • Experience building software, tools, or models
  • JAX, PyTorch, or TensorFlow

Nice to have

  • distributed training
  • performance profiling
  • excellent communication skills
  • ability to influence both internal stakeholders and the broader research community

What the JD emphasized

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience building software, tools, or models (e.g., open-source contributions, internal tools, or model releases).
  • 2 years of experience with JAX, PyTorch, or TensorFlow.

Other signals

  • pushing the boundaries
  • advance AI development
  • solve complex global challenges
  • high-quality product innovation