Staff AI/ML Infra Architect — GenAI & Scalable Systems

Google LLC

Pittsburgh (Allegheny County)

Presencial

USD 207.000 - 300.000

Jornada completa

hace 29 horas
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Descripción de la vacante

Google is seeking a Senior ML Engineer to help design and deploy scalable AI systems, working across models, data pipelines, and infrastructure.

You will lead end-to-end ML initiatives, optimize model deployment, and drive large-scale GenAI efforts in a fast-paced, collaborative environment.

The role involves partnering with research and product teams to ship reliable AI features that impact billions of users.

Formación

  • Bachelor's degree or equivalent practical experience.
  • 8 years of software development experience.
  • 5 years leading ML design and end-to-end ML optimization.
  • 2 years with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).
  • Experience building ML systems and infrastructure.
  • Experience designing and operating distributed computing systems for large-scale AI/ML workloads.

Responsabilidades

  • Research emerging technology and decide between immediate wins and long-term stability.
  • Modify training and serving infrastructure to support new modeling techniques.
  • Collaborate with teams to build systems that integrate across the ecosystem.
  • Improve robustness and usability of ML infrastructure.
  • Engage with modeling teams to identify pain points and use cases.

Conocimientos

Software development
ML system design
Model deployment
GenAI techniques
Distributed computing
Data processing
Debugging

Educación

Bachelor's degree or equivalent practical experience
Master’s degree or PhD in Engineering/CS or related field

Descripción del empleo

Google is seeking a Senior ML Engineer to help design and deploy scalable AI systems, working across models, data pipelines, and infrastructure.

You will lead end-to-end ML initiatives, optimize model deployment, and drive large-scale GenAI efforts in a fast-paced, collaborative environment.

The role involves partnering with research and product teams to ship reliable AI features that impact billions of users.

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