Software Engineer III, Machine Learning
Remote - United States
We're committed to hiring the best talent and building a diverse team. We're proud to be completely remote-friendly and will continue to offer remote work options beyond the pandemic.
Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.
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 is responsible for predicting 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. Project highlights:
- Model architecture engineering via exploring different state-of-the-art model architectures such as Multi-task learning, Attention Layer
- Systematic feature engineering to build powerful features from Reddit’s data with aggregation, embedding, sub-models, content understanding techniques, etc.
- Build efficient ML infrastructure and tools such as auto ML flows and batch feature engineering framework, to accelerate ML dev cycle
As a machine learning engineer in the Ads prediction team, you will research, formulate, and execute projects, and actively participate in the end-to-end implementation process. You will collaborate with cross-functional teams to ensure successful product delivery. You will also be able to contribute your expertise and shape the future of ads ML at Reddit.
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.
- Contribute meaningfully to team strategy. We give everyone a seat at the …
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Fully remote 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 Fully remote 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- Building industrial-level models
- Feature engineering
- Research, implement, test, and launch new model architectures
Ads Advertising Architecture Deep Learning Engineering Feature Engineering Infrastructure Machine Learning ML Model Architecture PyTorch Recommendation systems TensorFlow
Experience3 years
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