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1 day ago
As a key member of our AI team, we are seeking an experienced Machine Learning Architect to drive the development of cutting-edge ad prediction models. This critical role is central to our Ads operations and will focus on end-to-end ownership of core ML modeling - training, deploying, and improving models that predict key user actions such as clicks, installs, and deeper funnel events like transactions.
Beyond this, there are exciting opportunities to deploy ML in the Ads ecosystem, like on the network Ads side of things, as well as on balancing ad revenue with regression in user experience. This high-impact role has direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment.
Responsibilities:
- Design and develop systems that serve recommendations to over 300 million users.
- Drive ML roadmap creation and execution, specifically around Ads.
- Provide technical guidance in ML model formulation, implementation & experimentation, and take end-to-end ownership of ML systems and key user satisfaction-based metrics.
- Drive architectural strategy and design for complex ML systems that support the needs of users, creators, and content stakeholders.
Requirements:
- 8+ years of hands-on experience training and serving large-scale models using frameworks such as TensorFlow or PyTorch.
- Experience in productionizing machine learning models, managing and designing end-to-end ML systems, and data pipelines.
- Deep understanding of the mathematical foundations of Machine Learning algorithms.
- Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking and personalizing recommendations.
- Stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning.
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