Software Engineer III, AI/ML, YouTube

Minimum qualifications:
Bachelors degree or equivalent practical experience 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree 1 year of experience with one or more of the following: Speech/audio (eg , technology duplicating and responding to the human voice), reinforcement learning (eg, sequential decision making), ML infrastructure, or specialization in another ML field 1 year of experience with ML infrastructure (eg, model deployment, model evaluation, optimization, data processing, debugging) Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields 2 years of experience with data structures or algorithms Experience developing accessible technologies 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 Googles 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 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 Responsibilities Write product or system development code Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e g , style guidelines, checking code in, accuracy, testability, and efficiency) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Google is proud to be an equal opportunity workplace and is an affirmative action employer 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