Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.

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:

• 1+ years of experience of leading a 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).
• Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering.
• 3+ years of experience with industry-level deep learning models.
• 3+ 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 models.
• 4+ 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.

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