What are the responsibilities and job description for the ML Staff Software Engineer, Trust and Safety, YouTube position at YouTube?
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 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 Engineering, Computer Science, or a related technical field.
- 5 years of experience testing, and launching software products.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
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.
YouTube is an open platform that embraces a wide range of perspectives. Our team defines and enforces safety standards that maximize the benefits of YouTube’s openness and minimizes the harm. We’re looking for an Applied ML Engineer to advocate solutions that protect users from negative experiences and enhance the overall journey. In this role, you will be at the forefront of designing, developing, and enhancing the critical prediction models that drive Shopping's success. Your primary focus will be on our Predicted Conversion Rate (pCVR) models, which optimize advertising performance, refine bidding strategies, and ultimately deliver greater value to both our users and merchant partners.
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 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google.
Responsibilities
- Provide technical leadership and strategy development for both automated and AI assisted content moderation.
- 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.