Senior Staff Research Engineer — GenAI & Foundation Models

Google Inc.

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

14 days+
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Job summary

Google Cloud AI Research engineers tackle high-impact AI research issues, advancing foundation models and GenAI for multimodal inputs and outputs. You will work across research and product teams to push the boundaries of enterprise AI, solving real-world problems and shaping model deployment at scale.

Your work contributes to reducing hallucinations, improving generalization, and enhancing retrieval-augmented LLMs while collaborating with colleagues across Google Cloud.

Qualifications

  • 8 years of experience in software development.
  • 7 years leading technical project strategy, ML design, and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with design and architecture; testing/launching software products.
  • 5 years of experience with GenAI techniques or related concepts.

Responsibilities

  • Develop innovative machine learning and natural language processing techniques at high impact scale.
  • Collaborate with Google Cloud product teams to translate research breakthroughs into products.
  • Invent and implement generalizable methods for scalable enterprise AI solutions.
  • Engage with researchers and engineers across Google.

Skills

Outcome ownership
Decision making
Software development
ML design
ML infrastructure
Project leadership
GenAI techniques

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Cloud AI Research engineers tackle high-impact AI research issues, advancing foundation models and GenAI for multimodal inputs and outputs. You will work across research and product teams to push the boundaries of enterprise AI, solving real-world problems and shaping model deployment at scale.

Your work contributes to reducing hallucinations, improving generalization, and enhancing retrieval-augmented LLMs while collaborating with colleagues across Google Cloud.

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