Discord is seeking a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team. This on-site role is based in San Francisco, United States, and the team partners with revenue product groups, focusing on both consumer revenue and our Ads initiative; this role will contribute to Ads ML by building and scaling ML capabilities in ads measurement, targeting, and delivery ranking.
Discord is seeking a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team. This on-site role is based in San Francisco, United States, and the team partners with revenue product groups, focusing on both consumer revenue and our Ads initiative; this role will contribute to Ads ML by building and scaling ML capabilities in ads measurement, targeting, and delivery ranking.
Responsibilities include designing, developing, and deploying machine learning models for ads targeting and ranking; building sophisticated ML solutions such as identity graphs to enhance ad targeting; building and optimizing ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link clicks); improving ads targeting and ranking by leveraging both on-platform and off-platform signals; collaborating cross-functionally with product, engineering, and business teams to define and execute the Ads ML roadmap; scaling our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making; and driving research and implementation of state-of-the-art ML techniques in online advertising.
What you should have: 5+ years of experience as a Machine Learning Engineer or Data Scientist; 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement); strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow; experience with applied deep learning (e.g., transforme
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Responsibilities include designing, developing, and deploying machine learning models for ads targeting and ranking; building sophisticated ML solutions such as identity graphs to enhance ad targeting; building and optimizing ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link clicks); improving ads targeting and ranking by leveraging both on-platform and off-platform signals; collaborating cross-functionally with product, engineering, and business teams to define and execute the Ads ML roadmap; scaling our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making; and driving research and implementation of state-of-the-art ML techniques in online advertising.
What you should have: 5+ years of experience as a Machine Learning Engineer or Data Scientist; 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement); strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow; experience with applied deep learning (e.g., transforme
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Based on: Senior Software Engineer, Machine Learning (Ads)
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