Bachelor's degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience implementing core ML concepts.
Nice to haves:
Master's degree in Computer Science or a related technical field.
Experience in designing, analyzing, launching, and serving ML models.
Experience in applied machine learning at scale.
Excellent pragmatic and collaborative mindset, leveraging existing resources to achieve impact quickly, and influencing other teams' roadmaps to meet program needs.
What you'll be doing:
Write product or system development code.
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.
Perform data analysis (e.g., SQL, Python in Colab) to gain insights on how to reach our detection goals; Perform model experiments, analyze them, and build graph-based classifiers; Work with research and other engineering teams to identify and deploy graph-based solutions.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies; Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Perks and benefits:
YouTube
Zürich, Switzerland
Opportunity to work on cutting-edge technologies
Dynamic work environment
Contribute to a team focused on trust and safety on YouTube