App Ads Team

  • Develop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the app conversions modeling domain.
  • Design and implement innovative strategies for signal loss mitigation, ensuring the accuracy and reliability of predictions in the presence of incomplete or noisy data.
  • Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
  • Systematic 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 team.
  • Contribute 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:

  • 2+ years of experience with industry-level deep learning models.
  • 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).
  • 3+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
  • 3+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets.
  • Experience with ads domain and conversion modeling is a plus.
  • Experience with recommendation systems is a plus.