Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com .

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

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-AK1 #LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit .

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$216,700—$303,400 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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