Staff Software Engineer, ML Hardware, YouTube Discovery

Google is seeking a Staff Software Engineer to join their YouTube Discovery team, focusing on Machine Learning Hardware optimization. This role is crucial for YouTube's growth, which is driven by ML-powered personalized recommendations. The position involves working with cutting-edge technology like Tensor Processing Units (TPU) and adapting to new developments in Gemini and Large Language Models.

The role requires a seasoned professional with 8 years of software development experience and strong expertise in ML infrastructure and large-scale ML models. You'll be responsible for managing YouTube's participation in hardware development and evaluation programs, while also driving efforts to optimize model performance through techniques like quantized training and inference.

Working at YouTube means being part of a culture that values creativity and technical innovation. The team moves at the speed of culture, working to empower users to share their stories and connect with others. The position offers competitive compensation, including a base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits.

Key responsibilities include developing ML hardware adoption strategies, leading engineering initiatives for model optimization, and collaborating with experts across Google. The ideal candidate will have experience with ML infrastructure, model deployment, and optimization, along with strong leadership and communication skills.

This is an opportunity to impact how millions of users experience YouTube through improved recommendation systems, while working with state-of-the-art ML hardware and infrastructure. You'll be at the forefront of implementing efficient ML solutions that scale across one of the world's largest video platforms, making content discovery more effective and personalized for users worldwide.