Software Engineer, Large User Models, Core Machine Learning

Google Cloud's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. The Core ML organization, part of Google Cloud, drives ML excellence for Google and is responsible for creating a cohesive path for machine learning at Google. The Recommendations ML team, part of Core ML, accelerates product innovations through machine learning.

As a Software Engineer in the Large User Models, Core Machine Learning team, you will:

• Conduct applied research to improve the quality and efficiency of Large Transformer-based User Models.
• Build, improve, and productionize these models.
• Experiment, analyze, and iterate over Large User Models for Google products (e.g., Play, Search) to improve model quality.
• Collaborate with researchers to develop new Machine Learning architectures, techniques, and metrics.
• Research recommendation systems and Large Models from other domains (e.g., Language, Vision, Multimodal).

You'll work on critical projects for Google Cloud's needs with opportunities to switch teams and projects as you and the business grow. The role requires versatility, leadership qualities, and enthusiasm to tackle new problems across the full-stack.

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging cutting-edge technology. Customers in over 200 countries rely on Google Cloud as their trusted partner for growth and solving critical business problems.

This role offers a competitive salary range of $136,000-$200,000 + bonus + equity + benefits, determined by factors such as location, skills, experience, and relevant education or training.