Work on identifying innovative solutions for various product, user, advertiser optimization problems.

Build end-to-end machine learning systems on large-scale data (billions of YouTube queries).

Research novel deep model architectures, read papers, implement and deploy them.

Build models from inception to launch: Collect ground truth, exploratory models, feature engineering, deep model architectures, live experiments on YouTube users, tuning, metrics analysis.

Data analysis both offline on model prediction accuracy, and online on live experiments on business critical metrics.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in C++ and Python.

3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

3 years 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.

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