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Research Scientist for Gemini Horizon, DeepMind

Google
California, USA
Junior · 2+ years experience
Onsite
USD 174000-252000 / year
Discovered 1 weeks ago
jaxpythonpytorch

Full Job Posting

Responsibilities

  • Deliver step-change improvements to Gemini through rigorous and ambitious research.
  • Improve the models ability to manage its own context and memory natively, instead of relying on the code wrapped around the model (the harness).
  • Make Gemini better at subagent orchestration, which is basically memory management through isolation.
  • Advance complex long horizon task execution such as for RSI and computer use where we combine low latency asynchronous execution and long horizon reasoning.
  • Build novel infrastructure, gaining a deep understanding of training dynamics, and developing novel RL algorithms.

Minimum qualifications:

  • 2 years of experience with machine learning algorithms and tools, or applied ML (e.g., LLM's, generative AI, NLP, recommendations).
  • 2 years of experience with Generative AI, AI algorithms, and system design.
  • 2 years of industry experience in applied machine learning/machine learning research.
  • 2 years of experience with developing machine learning infrastructure, distributed systems or networks.
  • 2 years of experience in an applied research setting.
  • Experience coding in Python or C++.

Preferred qualifications:

  • Master's degree or PhD in Computer Engineering/Machine Learning or equivalent.
  • Software engineering skills in Python and deep experience with modern ML frameworks (e.g., JAX, PyTorch).

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