Senior ML Infrastructure Engineer, YouTube

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with programming in Python and C++.
• 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., Language Modeling, Computer Vision).

Nice to Haves:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

What You'll Be Doing:

• Write and test 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.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Perks and Benefits:

• Opportunity to work in a fast-paced, cutting-edge technology environment.
• Collaborate with a diverse team focused on innovation and creativity.
• Encouraging a culture of diversity, inclusion, and belonging.
• Equal opportunity employer committed to creating a workforce representative of the users served.