About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We aim to grow the YouTube Ads business responsibly by putting the users first. Our projects include user cost optimization, ad relevance, creative quality, integrated user experience, inventory optimization, and sesource optimization.

The User team develops auction user cost to optimize for long-term business growth, user perception survey infra to measure user experience, and improves ads quality through relevance, creative quality, inventory and more.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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.

Minimum qualifications

• 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.

Preferred qualifications

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

• 2 years of experience with data structures and algorithms.

• Experience with ads ranking, recommender systems or video ads.

• Experience with data analysis.