Software Engineer III, AI/ML, Google Workspace: Google

This role is critical to the future of Google Workspace (Gmail, Docs, Drive, Calendar, Sheets, Vids, and Meet), which is at the forefront of changing the future of work with AI. You will be building the productivity tools of the next 5-10 years, impacting billions of users globally. The work involves large-scale system design and AI applications, such as pre-computed email summaries, meeting summaries, and video creation using AI avatars. You will collaborate with model builders like Google DeepMind.

Key Responsibilities (Derived from typical Google SE III/AI/ML roles)
Implementation & Deployment: Implement solutions in one or more specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing.

Engineering Excellence: Collaborate with peers and stakeholders through design and code reviews to ensure best practices (style guidelines, accuracy, testability, and efficiency).

ML System Maintenance: Triage product or system issues and debug/track/resolve problems by analyzing their impact on hardware, network, or service operations and quality.

Documentation: Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Qualifications
Minimum Qualifications
Education: Bachelor’s degree or equivalent practical experience.

Programming: 2 years of experience programming in Python or C++.

ML Specialization (1 year experience in one or more):

Speech/audio (e.g., technology duplicating and responding to the human voice).

Reinforcement learning (e.g., sequential decision making).

ML infrastructure.

Specialization in another ML field.

ML Infrastructure: 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications
Master's degree or PhD in Computer Science or related technical fields.

2 years of experience with data structures or algorithms.

Experience developing accessible technologies.