Staff ML Systems Architect — Data & Model Infrastructure (Equity)

Socket.dev

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

5 days ago
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Benefits offered by this job

Equity
Benefits

Job summary

Google is seeking a Staff Software Engineer in AI/ML to shape the technical trajectory of large-scale ML systems. You will bridge research and production, ensuring scalable, efficient AI solutions that integrate with core products.

You will lead architecture reviews, guide teams across Product, Research, and UX, and mentor engineers while advancing state-of-the-art techniques for Google's global infrastructure.

Qualifications

  • Minimum 8 years of software development experience.
  • 5+ years testing, launching software products, and 3+ years in design and architecture.
  • 5 years in ML design, ML infrastructure, and model deployment/evaluation.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Lead design and architecture of complex ML pipelines and distributed systems.
  • Drive adoption of next-gen AI/ML techniques for production-scale impact.
  • Set high standards for code quality, testing, and deployment.
  • Mentor engineers and represent the team in technical discussions.
  • Collaborate with researchers and product stakeholders to align roadmaps.

Skills

Software development
ML design and ML infrastructure
Generative AI integration
Leadership / technical leadership
Data structures and algorithms
Distributed computing / large-scale

Education

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

Job description

Google is seeking a Staff Software Engineer in AI/ML to shape the technical trajectory of large-scale ML systems. You will bridge research and production, ensuring scalable, efficient AI solutions that integrate with core products.

You will lead architecture reviews, guide teams across Product, Research, and UX, and mentor engineers while advancing state-of-the-art techniques for Google's global infrastructure.

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