Principal Engineer, Core ML Infra, Training and Experimentation

Google's Core ML team, part of the AI and Infrastructure organization, is seeking a Principal Engineer to lead their Training & Experimentation initiatives. This role sits at the intersection of Google's AI infrastructure and product development, focusing on making ML excellence accessible both within Google and globally.

The position involves leading the design and development of Core ML training, bulk inference, and experimentation infrastructure. You'll be responsible for driving technical strategy and roadmap across the training ecosystem, working closely with researchers, applied ML leads, and product UTLs to develop the best ML bulk inference and experimentation ecosystem.

As a Principal Engineer, you'll be instrumental in extending Google's leadership position in AI and driving ML velocity efforts across the company. The role requires deep technical expertise in systems and software, coupled with strong leadership skills and the ability to reason about technical impacts and risks.

The position offers a competitive compensation package ranging from $294,000 to $414,000 base salary, plus bonus, equity, and comprehensive benefits. You'll be working from one of Google's main tech hubs - Mountain View, San Francisco, or Sunnyvale, CA.

This is an exceptional opportunity for a seasoned technical leader with 15+ years of software engineering experience and strong ML infrastructure knowledge. You'll be at the forefront of Google's AI initiatives, working with cutting-edge technologies and helping shape the future of machine learning infrastructure at scale.

The role combines technical leadership with hands-on engineering, requiring both deep technical expertise and the ability to influence and guide teams. You'll be responsible for making critical technical decisions that impact Google's AI capabilities while working with some of the brightest minds in the field.

If you're passionate about machine learning infrastructure, have a proven track record of technical leadership, and want to make a significant impact on how AI is developed and deployed at scale, this role offers the perfect platform to advance your career while contributing to groundbreaking technological advancements.