Machine Learning Engineer - App Ads

Reddit USA

Company

Reddit

Location

USA

Type

Full Time

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!

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

Apply Now

Date Posted

01/29/2025

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