Staff Software Engineer, Machine Learning, YouTube

YouTube is seeking a Staff Software Engineer specializing in Machine Learning to join their innovative team. This role represents a unique opportunity to work at one of the world's largest video sharing and community platforms, where technology meets creativity to impact billions of users globally.

The position requires a seasoned professional with 8 years of software development experience and deep expertise in machine learning algorithms and tools. You'll be working on cutting-edge AI technologies that shape how users interact with YouTube's platform, requiring both technical excellence and leadership capabilities.

As a Staff Software Engineer, you'll lead technical initiatives, participate in crucial design decisions, and mentor other team members. The role involves working with complex systems at massive scale, requiring expertise in distributed computing, system design, and AI/ML technologies. You'll be responsible for developing and maintaining critical software solutions that power YouTube's ML infrastructure.

The company offers a competitive compensation package ranging from $189,000 to $284,000, plus bonus and equity opportunities. YouTube's culture emphasizes innovation, creativity, and inclusivity, believing that diverse perspectives lead to better products. The position is based in New York City, placing you in one of the world's most vibrant tech hubs.

This role is perfect for someone who wants to combine technical leadership with hands-on development, working on problems that impact billions of users. You'll be part of a team that values both technical excellence and creative problem-solving, with the opportunity to shape the future of how people share and consume video content worldwide.

The ideal candidate will have experience with machine learning algorithms, distributed systems, and a track record of leading technical teams. You'll work in a collaborative environment where you can influence technical decisions while having the resources and support of a global technology leader.