Write product or system development code.

Develop the user cost system in auction to optimize for long-term value, thus growing YouTube ads long-term business growth sustainably.

Deliver ads aligned with user interests and contextual signals promoting premium quality ads, and integrating user/ad sentiment into the auction system.

Drive efficiency and scalability across YouTube ads serving infrastructure.

Build and deploy recommendation systems models, utilize machine learning (ML) infrastructure, and contribute to model optimization and data processing.

Bachelor’s degree or equivalent practical experience.

2 years of experience programming in Python or C++.

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

1 year of experience with one or more of the following: reinforcement learning (e.g., sequential decision making), ML infrastructure, LLM fine tuning, or specialization in another ML field.