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Description:
The App Ads Team at Reddit is responsible for developing and maintaining a variety of Machine Learning models that predict user conversions after engaging with Reddit.
These models are crucial for optimizing advertising effectiveness and driving business growth.
The Machine Learning Engineer will work on developing advanced deep learning models using cutting-edge techniques for app conversions modeling.
They will design strategies to mitigate signal loss and ensure accurate predictions with incomplete or noisy data.
Research, implement, test, and launch new model architectures, including deep neural networks with advanced pooling and feature interaction architectures.
Conduct systematic feature engineering to convert raw data in Reddit into features using various technologies.
Act as a mentor and advocate for the team, contributing to team strategy and planning for the future.
Requirements:
Must have 2+ years of experience with industry-level deep learning models.
Should have 2+ years of experience with mainstream ML frameworks like Tensorflow and Pytorch.
Need at least 3+ years of end-to-end experience in training, evaluating, testing, and deploying industry-level models.
Must have 3+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
Experience with ads domain and conversion modeling is a plus.