Tech Lead, YouTube Shorts Discovery, ML Recommendations

Google; Mountain View (CA); Presencial; USD 207 000 - 300 000; Tempo integral

Resumo da oferta

Google is seeking software engineers to advance next-generation technologies that power billions of interactions. You will work on discovery/recommendation engines, ML infrastructure, and large-scale systems across diverse teams.

The role offers opportunities to influence product direction and leadership across projects in a fast-paced environment. Responsibilities span end-to-end design, testing, deployment, and optimization of complex ML-driven software, with emphasis on scalable architectures

Qualificações

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years testing and launching software products with 3 years in design/architecture.
• 5 years in one or more ML areas: speech/audio, reinforcement learning, or related ML field.
• 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).

Responsabilidades

• Contribute to personalized quality recommendations and help grow a new product within Google, focusing on the discovery/recommendation engine and LLM-based systems.
• Provide technical leadership on high-impact projects; manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams on goals, outcomes, and timelines; coach distributed engineers.
• Lead design and implementation of ML solutions, optimize ML infrastructure, and guide model optimization and data processing strategies.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Conhecimentos

Software development

Testing & QA

Design & architecture

ML design & infra

ML areas (speech/audio/RL)

Formação académica

Bachelor’s degree or equivalent

Descrição da oferta de emprego

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), 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 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.

The Short-form Video team owns everything from the mobile creation experience and related mobile effects (e.g., 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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun and we do it all together.

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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .