As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.Ads prediction team's mission is to predict ads engagement rates used in auctions to maximize ad engagements and marketplace efficiency. This team owns a critical piece in the ads delivery pipeline and machine learning infrastructure. Some examples projects:Improve our model through model architecture engineering work including exploring different state-of-the-art model architecturesSystematic feature engineering work to build power features from Reddit's data with aggregation, embedding, sub-models, content understanding techniques, etc.Build efficient ML infrastructures and tools such as auto ML flows, batch feature engineering framework, to facilitate our ML dev efficiencyAs a Senior machine learning engineer in the Ads prediction team, you will research, formulate and execute on our mission to deliver the right ad to the right user under the right context with data and ML driven solutions. Your Responsibilities:Building industrial-level models for critical ML tasks with advanced modeling techniquesResearch, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architecturesSystematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc. Be a mentor and cross-functional advocate for the teamContribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future.Who You Might Be:Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering3+ years of experience with industry-level deep learning models3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models4+ years of experience of orchestrating complicated data generation pipelines on large-scale datasetExperience with Ads domain is a plusExperience with recommendation system is a plusBenefits:Comprehensive Healthcare Benefits401k MatchingWorkspace benefits for your home officePersonal & Professional development fundsFamily Planning SupportFlexible Vacation (please use them!) & Reddit Global Wellness Days4+ months paid Parental LeavePaid Volunteer time off
