Senior Machine Learning Engineer, Ads Prediction
Remote - United States
As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.
Ads prediction team’s mission is to predict ads engagement rates used in auctions to maximize ad engagements and marketplace efficiency. This team owns a critical piece in the ads delivery pipeline and machine learning infrastructure. Some examples projects:
- Improve our model through model architecture engineering work including exploring different state-of-the-art model architectures
- Systematic feature engineering work to build power features from Reddit’s data with aggregation, embedding, sub-models, content understanding techniques, etc.
- Build efficient ML infrastructures and tools such as auto ML flows, batch feature engineering framework, to facilitate our ML dev efficiency
As a Senior machine learning engineer in the Ads prediction team, you will research, formulate and execute on our mission to deliver the right ad to the right user under the right context with data and ML driven solutions.
Your Responsibilities:
- Building industrial-level models for critical ML tasks with advanced modeling techniques
- 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:
- Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering
- 3+ years of experience with industry-level deep learning models
- 3+ years of experience with mainstream ML …
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Remote - United States
Benefits/Perks401(k) matching 401(k) program 4+ months paid Parental Leave Commission Comprehensive Healthcare Benefits Dental Equity Equity in the form of restricted stock units Family Planning Family Planning Support Flexible Vacation Generous time off Global Wellness Global Wellness Days Healthcare Healthcare Benefits Medical Medical, dental, and vision insurance Paid parental leave Paid Volunteer time off Parental leave Pay Transparency Personal & Professional development funds Professional development funds Reddit Global Wellness Reddit Global Wellness Days Wide range of benefits Workspace Workspace benefits Workspace benefits for your home office
Tasks- Feature engineering
- Mentorship
- Research, implement, test, and launch new model architectures
Ads Advertising Architecture Deep Learning Engineering Feature Engineering Infrastructure Machine Learning ML Model Architecture PyTorch TensorFlow
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9