Google, Mountain View, California +2
As a part of the Gemini Apps Data Engineering team, you will architect and operate the data pipelines that deliver critical telemetry across all Gemini surfaces. You will combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformative, global product during a time of massive growth!
In this role, you will leverage your experience in building and running scalable systems, and utilize modern data warehouse infrastructure at Google, lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps’s analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
goals for a Modern Data Warehouse.
experimentation, product analytics, and ML/AI training loops.
defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets.
reviews, code reviews, and actionable feedback.
translating ambiguous requirements into technical designs.
equivalent practical experience.
other similar infrastructure.
orchestration tools.
direction for a small group of executive and junior software engineer.
obstacles are cleared to maintain the Gemini App's changing growth.
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Source: the company job board. We last checked this job 4 days ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.
See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.