Staff Machine Learning Engineer (Ads Conversion Modeling)

We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! 

The Ads Conversions Modeling Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth.

We are seeking a highly skilled Machine Learning specialist to take a leadership role in the advancement of state-of-the-art conversion models. 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 delivery. You will also have the opportunity to contribute your expertise and shape the future of conversion modeling at Reddit.

Your Responsibilities:

• Develop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the 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 of leading an ads modeling team with DNNs as the primary model.
• 1+ 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 models.
• 4+ 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 models.
• 5+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets.
• Track record of consistently driving KPI wins through systematic works around model architecture and feature engineering.

Benefits:

• Comprehensive Health benefits
• Retirement Savings plan with matching contributions
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off