Machine Learning Engineer, App Ads
Role details
Job location
Tech stack
Job description
The App Ads 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 looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our 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!
Requirements
- years of experience with industry-level deep learning models.
- years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).
- years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
- 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 & conditions
- Pension Scheme
- Private Medical and Dental Scheme
- Life Assurance, Income Protection
- Workspace benefit for your home office
- Personal & Professional development funds
- Family Planning Support
- Commuter Benefits
- Flexible Vacation & Reddit Global Days Off This role is remote within the Netherlands or the UK Li-remote