Gemini App Analytics Infrastructure Software Engineer, Mountain View

Gemini App Analytics Infrastructure SWE Snapshot The Gemini Apps Analytics Infra team is responsible for providing critical telemetry about the Gemini web and mobile apps. The data we produce is key in everything from helping to evaluate the performance of new Gemini model candidates and Gemini App product features to providing leadership up to Demis with an accurate and timely understanding of how the product is doing.

We enable the Gemini App org to make well-informed business decisions and to deliver state-of-the-art LLMs to hundreds of millions of users.

The Role

The Gemini App’s user base is growing and the growth is accelerating. We have ambitious product goals and the Analytics Infrastructure team is set to play a critical role across the org in reaching them. We are looking for a senior SWE to take on the challenge to scale our infrastructure to keep pace so that we can continue delivering metrics and product data quickly, reliably and accurately.

Leveraging your experience or expertise in building and running scalable systems, and utilizing infrastructure like Flume, Dreampipe, Conduit, and more, you will work with a team of high-performing senior and junior engineers to deliver datasets at scale to drive Gemini Apps’ most high-priority efforts, such as reducing the cost of inference or improving product reliability or increasing the velocity of model releases.  You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across GDM, to understand and provide high-quality data to solve key problems to help make Gemini the next billion-user product.

Along the way, you will learn about and support shipping the latest cutting-edge models to our users.

About You

To set you up for success as a Gemini Apps Analytics Infrastructure SWE at Google DeepMind, we look for the following skills and experience: Required qualifications C++ proficiency Experience developing, debugging, and supporting large-scale data pipelines Interest in data and data quality, attention to detail Willing to stand behind production systems by carrying a pager In addition, the following would be an advantage: Go proficiency Experience with Conduit, Dreampipe, Lavaflow, Napa, Rasta, F1, or other similar infrastructure.

Experience working in the analytics domain, doing data analysis At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.      

Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and...