Staff Software Engineer, AI/ML, YouTube

YouTube is a platform that believes everyone deserves a voice, enabling users to share stories, explore interests, and build communities through video content.
$189,000 - $284,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI

Description For Staff Software Engineer, AI/ML, YouTube

YouTube, a leading video-sharing platform, is seeking a Staff Software Engineer specializing in AI/ML to join their innovative team. This role represents an exciting opportunity to work at the intersection of cutting-edge technology and creative content delivery, where you'll be instrumental in developing next-generation technologies that impact billions of users worldwide.

The position offers a competitive compensation package ranging from $189,000 to $284,000, plus bonus, equity, and comprehensive benefits. Based in either Mountain View or San Bruno, CA, you'll be part of a dynamic environment that values innovation and technical excellence.

As a Staff Software Engineer, you'll lead the design and implementation of sophisticated ML solutions, optimize infrastructure, and guide the development of model optimization strategies. The role requires 8 years of software development experience, with deep expertise in machine learning, particularly in areas such as speech/audio technology, reinforcement learning, or ML infrastructure.

You'll have the opportunity to work on critical projects that shape how users interact with YouTube's platform, leading technical initiatives and mentoring team members. The role demands both technical expertise and leadership skills, as you'll be responsible for managing project priorities, facilitating cross-team alignment, and driving technical direction.

YouTube's mission is to give everyone a voice and show people the world. Working here means being part of a culture that moves at the speed of culture itself, where you'll collaborate with talented individuals to solve real problems while exploring new ideas. The company believes in the power of stories to connect people and build communities, and as a Staff Engineer, you'll be at the forefront of making this vision a reality through advanced AI/ML solutions.

This role is perfect for someone who combines technical depth with leadership abilities, enjoys working on complex challenges at scale, and wants to make a significant impact on how billions of people experience and interact with video content online. You'll be supported by Google's resources while working specifically on YouTube's unique technical challenges, making this an ideal opportunity for career growth and technical innovation.

Last updated 3 days ago

Responsibilities For Staff Software Engineer, AI/ML, YouTube

  • Design, develop, test, deploy, maintain, and enhance large scale software solutions
  • Provide technical leadership on high-impact projects
  • Manage project priorities, deadlines, and deliverables
  • 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 model optimization and data processing strategies

Requirements For Staff Software Engineer, AI/ML, YouTube

Python
  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in software development
  • 5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or other ML specialization
  • 5 years of experience leading ML design and optimizing ML infrastructure
  • 5 years of experience testing and launching software products
  • 3 years of experience with software design and architecture
  • Experience with data structures/algorithms
  • Experience in technical leadership and setting technical direction
  • Experience working in complex, matrixed organizations

Benefits For Staff Software Engineer, AI/ML, YouTube

Medical Insurance
Dental Insurance
Vision Insurance
  • Bonus
  • Equity
  • Benefits package

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