Consumer AI Software Engineer — ML & Deployment

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking software engineers to develop next-generation technologies across a range of systems and AI-focused areas. The role emphasizes versatility in large-scale design, collaboration, and leadership as projects evolve.

You will work on critical projects within the Commerce and broader Google ecosystem to enable secure, scalable experiences for users and partners alike. The team values initiative, clear communication, and the ability to translate technical concepts into actionable

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with generative AI technologies.
• 2 years of experience with software development in one or more programming languages (or 1 year with advanced degree).
• 1 year of experience with ML infrastructure (model deployment/evaluation/processing).

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on updates and feedback.
• Triage product or system issues and debug/track/resolve impact on hardware, network, or service operations.
• Implement solutions in ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Generative AI

Software development

ML infrastructure

Education

Bachelor's degree in Electrical Engineering/Computer Engineering/Computer Science or related field

Master's degree or PhD in CS or related field

Job description

Google is seeking software engineers to develop next-generation technologies across a range of systems and AI-focused areas. The role emphasizes versatility in large-scale design, collaboration, and leadership as projects evolve.

You will work on critical projects within the Commerce and broader Google ecosystem to enable secure, scalable experiences for users and partners alike. The team values initiative, clear communication, and the ability to translate technical concepts into actionable