Senior ML Systems Engineer — Multimodal AI & Deployment

Google

San Jose (CA)

On-site

USD 174,000 - 252,000

Full time

10 hours ago
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Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search.

As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with ML areas such as speech/audio, reinforcement learning, ML infrastructure, or related fields.
  • 3 years of experience with end-to-end Machine Learning (model deployment, evaluation, data processing, debugging).
  • 1 year of experience with AI and agentic development.

Responsibilities

  • Design and implement ML solutions in specialized areas, leveraging ML infrastructure.
  • Architect complex multimodal problems and own features for next-generation intelligent eyewear.
  • Collaborate across UX, product, design, and research to identify technologies, milestones, and progress solutions from concept to launch.
  • Evaluate technologies and product applications to support next-generation product features and system architecture.
  • Foster technical excellence and cross-functional communication to drive project success.

Skills

Software development
Programming languages
Machine Learning
AI & agentic development
End-to-end ML

Education

Bachelor's degree or equivalent
Master's or PhD in CS or related field

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search.

As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

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