Senior AI/ML Merchant Shopping Engineer

Google Inc.

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

6 days ago
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Job summary

Google is seeking a Senior Software Engineer for AI/ML Merchant Shopping in Mountain View, CA. The role focuses on building scalable ML-enabled shopping features and collaborating across teams to push technology forward.

Responsibilities include writing robust code, reviewing designs, and contributing to documentation. In-person interviews may be required, with compensation featuring US salary range plus bonus and equity.

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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with C++, Flume and some ML systems (HCI, Data Mining, etc.).

Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing impacts on hardware, network, or service operations.
  • Design and implement solutions in ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

C++
ML infrastructure
Software design
Testing & launching

Education

Bachelor's degree or equivalent

Tools

Flume

Job description

Google is seeking a Senior Software Engineer for AI/ML Merchant Shopping in Mountain View, CA. The role focuses on building scalable ML-enabled shopping features and collaborating across teams to push technology forward.

Responsibilities include writing robust code, reviewing designs, and contributing to documentation. In-person interviews may be required, with compensation featuring US salary range plus bonus and equity.

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