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 82M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.
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.
The Ads Ranking organization is responsible for predicting various ad engagement rates, including but not limited to click, conversion, and app install predictions. These rates are then used in the ad auction to maximize ad engagements and marketplace efficiency. This organization 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 Layers, and Delayed Feedback models.
- 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 MLE dev cycle.
As a machine learning engineer in the Ads Ranking organization, 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.
:
- 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 work 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 table and encourage active participation in planning for the future
- Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering
- 3+ years of experience with industry-level Machine Learning models
- 3+ 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
- Deep learning experience is a strong plus
- Experience in orchestrating complicated data generation pipelines on large-scale dataset is a plus
- Experience with Ads domain is a plus
- Experience with Recommendation Systems is a plus
- Comprehensive Healthcare Benefits
- 401k Matching
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation (please use them!) & Reddit Global Wellness Days
- 4+ months paid Parental Leave
- Paid Volunteer time off
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 https://www.redditinc.com/careers/.
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:
$185,800—$260,100 USD
Top Skills
What We Do
Reddit is a community of millions of users engaging in the creation of content and the sharing of conversation across tens of thousands of topics. Our mission is to bring community, belonging, and empowerment to everyone in the world.
Why Work With Us
At Reddit, you’ll help build something that encourages millions around the world to think more, do more, learn more, feel more– and maybe even laugh more.
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