Senior AI/ML Engineer — Cloud Platforms

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

Job summary

Google Inc. Sunnyvale, CA is seeking software engineers at mid level to contribute to AI and infrastructure efforts. You will work on projects critical to Google’s needs across AI models, large-scale systems, and cloud technology, with opportunities to switch teams as the business grows.

The role emphasizes versatility, leadership, and collaboration, with responsibilities spanning code development, design reviews, documentation, triage, and ML inference and deployment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
• Masters/PhD preferred; 2 years of data structures or algorithms.

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

Python

C++

ML infrastructure

Reinforcement learning

Speech/audio

Education

Bachelor’s degree

Master’s degree

Job description

Google Inc. Sunnyvale, CA is seeking software engineers at mid level to contribute to AI and infrastructure efforts. You will work on projects critical to Google’s needs across AI models, large-scale systems, and cloud technology, with opportunities to switch teams as the business grows.

The role emphasizes versatility, leadership, and collaboration, with responsibilities spanning code development, design reviews, documentation, triage, and ML inference and deployment.