Google is seeking a Staff Software Engineer specialized in ML Telemetry to join their team in London. This role sits at the intersection of Machine Learning infrastructure and performance optimization, focusing on developing and maintaining sophisticated telemetry systems for Google's ML fleet.
The position requires a seasoned professional with 8+ years of software development experience who will be responsible for driving continuous improvements to Google's Machine Learning software and hardware stack through advanced telemetry and metrics. You'll work on measuring and optimizing the efficiency of ML systems at scale, while providing crucial data-driven insights to various stakeholders.
As a Staff Software Engineer, you'll be part of Google Cloud, which serves customers in more than 200 countries, helping organizations digitally transform their businesses. You'll work with cutting-edge technology and have the opportunity to make significant impacts on Google's ML infrastructure.
The role combines technical expertise in machine learning, distributed systems, and performance optimization with strategic thinking and leadership. You'll collaborate with multiple teams to drive improvements in ML products and services, while helping shape the future of Google's ML software and hardware roadmap through data-driven decisions.
This position offers the opportunity to work on challenging problems at massive scale, with access to Google's world-class infrastructure and tools. You'll be part of a company known for its innovative culture, technical excellence, and global impact, while working alongside some of the brightest minds in the industry.
The role requires a blend of technical depth in ML systems, experience with large-scale infrastructure, and the ability to translate complex metrics into actionable insights. If you're passionate about machine learning, system optimization, and want to impact billions of users while working at the forefront of technology, this role offers an exceptional opportunity to advance your career at one of the world's leading tech companies.