AI/ML Platform Engineer III

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

Job summary

Google in Mountain View, CA is seeking software engineers to develop next‑gen AI-powered systems across platforms with opportunities to switch teams as projects evolve.

Requirements include 2+ years programming in Python or C++, 1 year in ML or related fields, and 1 year in ML infrastructure such as deployment or data processing. Advanced degrees are preferred for senior roles and ML work.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 1 year of 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

Python

C++

ML infrastructure

speech/audio or RL

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in CS or related field

Tools

ML deployment

Model evaluation

Job description

Google in Mountain View, CA is seeking software engineers to develop next‑gen AI-powered systems across platforms with opportunities to switch teams as projects evolve.

Requirements include 2+ years programming in Python or C++, 1 year in ML or related fields, and 1 year in ML infrastructure such as deployment or data processing. Advanced degrees are preferred for senior roles and ML work.