GenAI ML Engineer for Workspace: Model Deployment

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

Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on quality for GenAI-powered features in Workspace, collaborating with Gemini teams to bring model capabilities and quality improvements to Workspace products.

The position is based in the US with a salary range of $147,000–$210,000 (USD) plus 15% bonus target, equity, and benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development in one or more languages, or 1 year with an advanced degree.
• 1 year experience with speech/audio, reinforcement learning, ML infrastructure, or ML field specialization.
• 1 year experience with ML infrastructure (model deployment, evaluation, optimization, 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

Programming experience

ML infrastructure

Speech/Audio ML

Reinforcement learning

Education

Bachelor’s degree or equivalent practical experience

Master's degree 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. This role focuses on quality for GenAI-powered features in Workspace, collaborating with Gemini teams to bring model capabilities and quality improvements to Workspace products.

The position is based in the US with a salary range of $147,000–$210,000 (USD) plus 15% bonus target, equity, and benefits.