Staff Machine Learning Engineer - Ads Conversion Modeling

2+ years of experience of leading an ads modeling team with DNNs as the primary model1+ years of experience in signal loss mitigation (through transfer learning, data augmentation, and/or ensemble methods)4+ years of experience with industry-level deep learning models4+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)5+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models5+ years of experience of orchestrating complicated data generation pipelines on large-scale datasetsTrack record of consistently driving KPI wins through systematic works around model architecture and feature engineeringResponsibilities

You will serve as a visionary in designing these models, actively participate in the end-to-end implementation process, and collaborate with cross-functional teams to ensure successful product deliveryDevelop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the conversions modeling domainDesign and implement innovative strategies for signal loss mitigation, ensuring the accuracy and reliability of predictions in the presence of incomplete or noisy dataResearch, 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, etcBe a mentor and cross-functional advocate for the teamContribute meaningfully to team strategyWe give everyone a seat at the table and encourage active participation in planning for the future!401k MatchingWorkspace benefits for your home officeFamily Planning SupportFlexible Vacation (please use them!)Paid Volunteer time offCompany informationReddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit. Interested in joining our growing team? Check out redditinc.com/careersSocial Media, Technology, Software Development, Internet, Internet Services, Media, Digital Media, Digital Advertising, News and Media, Digital ContentCompany Specialties:

If your skills, experience, and qualifications match those in this job overview, do not delay your application.Software Engineering, Full-Stack Engineering, Frontend Engineering, Backend Engineering, Social Media, Data Science , Mobile Apps, and Online Advertising

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