Research Engineer: LLM & AI Systems

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

2 days ago
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Job summary

DeepMind Technologies Limited is seeking research-focused Software Engineers to design, prototype, and deploy large-scale ML systems within Google's AI initiatives. You will work on bridging research and production, leveraging cutting-edge models and multi-stage training pipelines to deliver impactful results.

You'll collaborate with product teams on Gemini and Search, evaluate model behavior, and push for safety and ethical AI practices while advancing research into practical applications with

Qualifications

  • PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
  • 5 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR).
  • 3 years of experience with software engineering in one or more programming languages or frameworks (e.g., Python, C++, JAX, PyTorch), including experience implementing multi-stage training pipelines or algorithms.

Responsibilities

  • Uncover opportunities in the intersection of Gemini, Search, factuality, continual learning, deep research, and more.
  • Analyze models and model-driven products and create new ways to measure ideal behavior.
  • Collaborate with product teams to scale research into production environments.

Skills

ML experience
Programming experience

Education

PhD in CS / AI / ML or equivalent

Tools

Python
C++
JAX
PyTorch

Job description

DeepMind Technologies Limited is seeking research-focused Software Engineers to design, prototype, and deploy large-scale ML systems within Google's AI initiatives. You will work on bridging research and production, leveraging cutting-edge models and multi-stage training pipelines to deliver impactful results.

You'll collaborate with product teams on Gemini and Search, evaluate model behavior, and push for safety and ethical AI practices while advancing research into practical applications with

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