ML Infra Software Engineer for YouTube Ads | Equity + Bonus

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

Job summary

Google's software engineers develop the next-generation technologies that shape how billions of users connect, explore, and interact with information. You will work on a project critical to Google’s needs with opportunities to switch teams as we grow and evolve.

YouTube Ads ML Infra focuses on signals, efficiency, and automation to improve model quality and reduce costs, while collaborating across teams to advance AI-powered advertising at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with C++ 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, reinforcement learning, ML infrastructure, or specialization in another 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

C++ experience

ML concepts

Model deployment

Data processing

Education

Bachelor's degree or equivalent practical experience

Master's or PhD desired

Tools

TensorFlow

Job description

Google's software engineers develop the next-generation technologies that shape how billions of users connect, explore, and interact with information. You will work on a project critical to Google’s needs with opportunities to switch teams as we grow and evolve.

YouTube Ads ML Infra focuses on signals, efficiency, and automation to improve model quality and reduce costs, while collaborating across teams to advance AI-powered advertising at scale.