AI/ML Software Engineer, Cloud Platform — Scale & Impact

Google

New York (NY)

On-site

USD 147,000 - 210,000

Full time

12 days ago
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Job summary

Google Cloud seeks a Software Engineer III specializing in AI/ML to join our growing team. Located in Sunnyvale/NY/Boulder, you’ll build scalable ML systems, collaborate across teams, and contribute to TPUs, Vertex AI, and data infrastructure.

You will write production-grade code, review designs, improve docs, triage issues, and advance model deployment and data processing with a focus on reliability and performance.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of Python or C++ programming experience.
  • 1 year with ML-related area (speech/audio, reinforcement learning, ML infrastructure, or related field).
  • 1 year of ML infrastructure experience (model deployment, evaluation, data processing, debugging).

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python
C++
ML concepts
Mentoring

Education

Bachelor's degree or equivalent practical experience

Job description

Google Cloud seeks a Software Engineer III specializing in AI/ML to join our growing team. Located in Sunnyvale/NY/Boulder, you’ll build scalable ML systems, collaborate across teams, and contribute to TPUs, Vertex AI, and data infrastructure.

You will write production-grade code, review designs, improve docs, triage issues, and advance model deployment and data processing with a focus on reliability and performance.

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