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 jobThe Short-form Video team owns everything from the mobile creation experience and related mobile effects (text, stickers, filters,...) , through a new video player experience that provides full screen videos with a quick tap to see the next videos, and through all the backend systems to allow creating and serving these videos and recommending them to users on home, search, and more.
Shorts exploration is a critical part of shorts recommendation with the mission to find an initial audience for fresh videos to enlarge our recommendable corpus and to inspire creation. We leverage various modeling techniques and signals to build initial audiences for fresh videos within the recommendation stack.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Contribute to personalized quality recommendations and help build and grow a promising new product within Google, focusing on the discovery/recommendation engine and LLM-based recommendation systems.
- 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.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
