Machine Learning Engineer - App Ads
RedditJob Summary
The App Ads Team at Reddit is seeking a motivated Machine Learning Engineer to develop and maintain advanced deep learning models for user conversion predictions. Responsibilities include designing scalable models, implementing signal loss mitigation strategies, researching new architectures, feature engineering, mentoring the team, and contributing to strategy. The ideal candidate has experience with deep learning frameworks like TensorFlow and PyTorch, model deployment, data pipelines, and a background in ads or recommendation systems is a plus. Benefits include comprehensive healthcare, 401k match, family support programs, mental health benefits, flexible vacation, parental leave, and paid volunteer time off.
Company Benefits
- ✓Comprehensive Healthcare Benefits and Income Replacement Programs
- ✓401k Match
- ✓Family Planning Support
- ✓Gender-Affirming Care
- ✓Mental Health & Coaching Benefits
- ✓Flexible Vacation & Reddit Global Days off
- ✓Generous paid Parental Leave
- ✓Paid Volunteer time off
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!
Your Responsibilities:
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.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
Paid Volunteer time off
#LI-Remote #LI-AK1
