Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 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.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
- 8 years of experience in data structures and algorithms, with experience building distributed, large-scale machine learning systems.
- 3 years of experience in a technical leadership role, defining technical goals, setting roadmap direction, and mentoring executive engineering teams.
- Experience designing and deploying recommendation systems, personalized ranking models, or retrieval systems.
- Expertise in managing the cold-start problem, reinforcement learning, or exploration/exploitation algorithms.
About the jobIn this role, you will lead the Short-form Video Exploration team and drive the success of YouTube shorts, a top strategic initiative. The Short-form Video team manages the entire ecosystem: from mobile creation tools and effects (text, stickers, filters) to a seamless, full-screen player experience. We also build the backend systems required to create, serve, and recommend these videos across Home, Search, and beyond.
Shorts Exploration is a critical component of our recommendation strategy. Our mission is to identify initial audiences for fresh content, expanding our recommendable corpus and inspiring further creation. To achieve this, we leverage advanced modeling techniques and signals to build these audiences directly within the recommendation stack.
The US base salary range for this full-time position is $207,000-$300,000 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 - Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
