Senior Machine Learning Engineer

Summary

Join Reddit's App Ads Team as a Machine Learning Engineer and develop cutting-edge deep learning models for app conversion prediction. You will design and implement strategies to mitigate signal loss, ensuring accurate predictions. Responsibilities include researching and launching new model architectures, performing systematic feature engineering, and mentoring team members. The ideal candidate possesses 2+ years of experience with industry-level deep learning models and mainstream ML frameworks, along with 3+ years of end-to-end model experience and large-scale data pipeline orchestration. Experience in the ads domain and recommendation systems is a plus. Reddit offers a remote-friendly work environment and comprehensive benefits.

Requirements

• 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

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!

Preferred Qualifications

• 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