Generative AI ML Software Engineer, Workspace

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking software engineers to advance generative AI features in Workspace. You will model, evaluate, experiment, generate synthetic data, and improve GenAI in real products.

You will collaborate across Workspace and Gemini teams to bring model capabilities and quality improvements to various Workspace products. As a software engineer you will write code, review designs, contribute to documentation, and help debug issues affecting hardware, network, or services.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of experience in ML areas: speech/audio, reinforcement learning, ML infra, or related field.
• 1 year of ML infrastructure experience: deployment, evaluation, optimization, data processing.

Responsibilities

• Write product or system development code.
• Review designs with peers to ensure best practices and quality.
• Contribute to documentation and update content as product evolves.
• Triage issues and debug impacts on hardware, network, or services.
• Implement solutions in ML areas and contribute to model optimization and data processing.

Skills

Software development

ML experience

ML infrastructure

Speech/Audio & RL basics

Education

Bachelor’s degree or equivalent

Master’s or PhD in CS or related field

Job description

Google is seeking software engineers to advance generative AI features in Workspace. You will model, evaluate, experiment, generate synthetic data, and improve GenAI in real products.

You will collaborate across Workspace and Gemini teams to bring model capabilities and quality improvements to various Workspace products. As a software engineer you will write code, review designs, contribute to documentation, and help debug issues affecting hardware, network, or services.