Software Engineer, AI/ML, Platforms and Devices

Google
Mountain View, CA, USA

About the job

The Artificial Intelligence Platform Empowering X (APEX) team works to accelerate and ensure the quality of the AI development lifecycle for Android and Pixel. In this role, you will design, build, and enhance the platforms, tools, and processes that deliver reliable, reproducible, and efficient evaluation for on-device AI models. Your contributions will be crucial in ensuring the quality, performance, and safety of AI features experienced by Android and Pixel users.

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.

Qualifications

Minimum

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

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

Preferred

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

2 years of experience with data structures and algorithms.

Experience developing accessible technologies.