Conceive, build, and launch novel ML models and solutions, from initial ideas to full production deployment, addressing complex and ambiguous problems.
Integrate ML classifiers from other teams, harmonizing them into a powerful, cohesive classification systems that deliver unified insights.
Analyze complex problems, such as spikes in abuse or emerging platform vulnerabilities, to devise targeted solutions for mitigation and prevention.
Collaborate closely with a group of stakeholders across YouTube, including analysts, data scientists, and policy experts, leading data-driven solutions and influencing platform-wide strategies.
Be comfortable doing some amount of infrastructure work such as launching an ML classifier. This might involve designing and implementing robust data pipelines, optimizing system performance, or maintaining crucial classification infrastructure.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with C++, Python, and SQL.
3 years of experience with machine learning and data analysis.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with C++, Python, and SQL.
3 years of experience with machine learning and data analysis.
