Data Engineer, Technical Leadership (Ranking, AI)
Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-the-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half-over-half revenue targets in a predictable fashion
We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists, and Software Engineers to support building out a great platform for the future of computing. In this role, you will experience a direct correlation between your work, company growth, and user satisfaction. You’ll collaborate with experienced engineers, researchers, and cross-functional partners, work with large-scale, diverse data sets, use modern technology, and see your efforts affect products and people on a regular basis.
Move to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS.
About the Company
At Meta, we believe in impact and building a career where you’re challenged and valued in teams that are the best at what they do. Join us as we create and innovate the technologies of the future. We are advancing AI for a connected world. From developing category defining products to testing and launching wearables at global scale, there are many ways you can help us build the future of human connection and the technology that makes it possible.
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