Senior GenAI Software Engineer — ML/Vision

Google; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Job summary

Google is hiring a Senior Software Engineer for AI/ML GenAI on the YouTube platform in Mountain View, CA. The role targets engineers who can drive GenAI projects, scale systems, and collaborate across teams to deliver cutting-edge features for billions of users.

Candidates should have strong software development background, GenAI expertise, and experience with ML infrastructure, architecture, and product launches.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years of experience with software development in one or more programming languages and with data structures/algorithms.
• 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 GenAI techniques (LLMs, multimodal, large vision models) or GenAI concepts.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing impact on hardware, network, or services.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques and domains.

Skills

Software development

GenAI

ML infrastructure

Architecture design

Testing

Education

Bachelor's degree

Master's or PhD

Job description

Google is hiring a Senior Software Engineer for AI/ML GenAI on the YouTube platform in Mountain View, CA. The role targets engineers who can drive GenAI projects, scale systems, and collaborate across teams to deliver cutting-edge features for billions of users.

Candidates should have strong software development background, GenAI expertise, and experience with ML infrastructure, architecture, and product launches.