The Learning Experience #398
Senior Machine Learning Engineer, Ads Optimization
The Learning Experience #398, San Francisco, California, United States, 94199
Senior Machine Learning Engineer, Ads OptimizationRedditShare this job
San Francisco, CA, USA
Check below to see if you have what is needed for this opportunity, and if so, make an application asap.$216700:$303400RemoteFull TimeShare this jobRole Highlights
APIProduct ManagementProduct DevelopmentOptimizationInfrastructureDataAutomationForecastingResearchEmbeddingsKPITestingSecurityServerTools, Libraries and Frameworks
ADADSDescription
Reddit is seeking a Senior Machine Learning Engineer for their Ads Optimization team to work on building models and enhancing ad performance through advanced AI techniques. The role involves the development and optimization of algorithms for auto bidding, budget pacing, and bid recommendations. Required skills include systematic feature engineering and end-to-end model implementation. The role emphasizes collaboration with cross-functional teams to ensure successful product delivery using AI-driven approaches.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Reddit is a platform that hosts a community of communities where users can explore their interests, hobbies, and passions through voting, commenting, and discussion, boasting over 100,000 active communities and more than 70 million daily active users. With a mission focused on bringing community, belonging, and empowerment to everyone in the world, Reddit continuously works to evolve its user experience across various offerings, including advertisements. As part of its mission to improve user and advertiser experience, Reddit is enhancing its Ads Conversions Modeling Team to develop and maintain diverse machine learning models aimed at optimizing advertising effectiveness. Reddit places a strong emphasis on open and authentic conversations, empowering users to shape the internet's content landscape.
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San Francisco, CA, USA
Check below to see if you have what is needed for this opportunity, and if so, make an application asap.$216700:$303400RemoteFull TimeShare this jobRole Highlights
APIProduct ManagementProduct DevelopmentOptimizationInfrastructureDataAutomationForecastingResearchEmbeddingsKPITestingSecurityServerTools, Libraries and Frameworks
ADADSDescription
Reddit is seeking a Senior Machine Learning Engineer for their Ads Optimization team to work on building models and enhancing ad performance through advanced AI techniques. The role involves the development and optimization of algorithms for auto bidding, budget pacing, and bid recommendations. Required skills include systematic feature engineering and end-to-end model implementation. The role emphasizes collaboration with cross-functional teams to ensure successful product delivery using AI-driven approaches.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Reddit is a platform that hosts a community of communities where users can explore their interests, hobbies, and passions through voting, commenting, and discussion, boasting over 100,000 active communities and more than 70 million daily active users. With a mission focused on bringing community, belonging, and empowerment to everyone in the world, Reddit continuously works to evolve its user experience across various offerings, including advertisements. As part of its mission to improve user and advertiser experience, Reddit is enhancing its Ads Conversions Modeling Team to develop and maintain diverse machine learning models aimed at optimizing advertising effectiveness. Reddit places a strong emphasis on open and authentic conversations, empowering users to shape the internet's content landscape.
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