Google's YouTube Ads ML team aims to apply State-of-the-Art (SOTA) machine learning techniques for making ad recommendations on YouTube to deliver a good, useful, relevant, and personalized ad experience to users, fulfill advertiser goals by identifying high-value users, generate business to keep ad content free, support the creator ecosystem, and research, design, apply, and launch innovative machine learning techniques.
Requirements
- 2 years of experience with software development in C++ and Python, 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).
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience in data analysis for building and optimizing machine learning models, such as Neural Networks and Recommender Systems, specifically for large-scale Ads platforms.
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.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
