About the job
Senior Software Engineer - Gemini App Analytics Infrastructure
Overview
The Gemini Apps Analytics Infrastructure team plays a vital role in delivering essential telemetry for the Gemini web and mobile applications. Our data is instrumental in assessing the performance of new Gemini model candidates and product features, providing leadership, including Demis, with timely insights regarding product performance. We empower the Gemini App organization to make data-driven business decisions and to bring cutting-edge large language models (LLMs) to millions of users.
The Role
As the user base of Gemini App expands rapidly, we have ambitious product objectives, and the Analytics Infrastructure team is poised to be pivotal in achieving these goals. We are on the lookout for a senior Software Engineer who can tackle the challenge of scaling our infrastructure, ensuring we continue to deliver metrics and product data swiftly, accurately, and reliably.
Utilizing your expertise in building and managing scalable systems, along with technologies such as Flume, Dreampipe, Conduit, and others, you will collaborate with a team of skilled engineers to provide extensive datasets that drive the Gemini Apps' key initiatives, including reducing inference costs, enhancing product reliability, and accelerating model release velocity. You will engage directly with crucial stakeholders across Data Science, model release, model quality, and feature teams, as well as across GDM, to supply high-quality data that resolves critical issues, facilitating Gemini's journey to becoming a product used by a billion users. Additionally, you will have the opportunity to work with and support the deployment of the latest state-of-the-art models to our users.
About You
To be successful as a Senior Software Engineer on the Gemini Apps Analytics Infrastructure team at Google DeepMind, we seek candidates with the following skills and experiences:

