"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
Generating billions of events and terabytes of data a day, we’re in the unique position to revolutionize how we protect Redditors.
You will be joining the Anti-Evil Engineering team as a leader, working closely with ops to defend Reddit’s integrity by fighting spam, abuse, bots, and fraud. Anti-evil team members are motivated to find innovative, state of the art solutions, leveraging ML models, data systems and user insights to pursue the highest possible quality and safety standards for users across our products.
If ensuring the safety of users on the 4th most popular website in the US excites you, then you’ve found the right place. We’re a small, tightly knit company with one of the highest user: employee ratios in the industry, giving you a tremendous opportunity for both scope and impact.
Architect & define strategies that help keep Reddit safe.
Leverage ML models to identify offending content and take appropriate actions.
Increase efficiency through automation, improved signals, workflow streamlining and system optimization.
Participate in the full development cycle: design, develop, QA, experiment, analyze, and deployment.
Collaborate across disciplines to find technical solutions to complex challenges.
3+ years managing high performing engineering teams.
5+ years of experience as a Software Engineer or Data Engineer developing production code.
Experience in one or more of the following areas: machine learning / artificial intelligence, pattern recognition or large-scale data mining.
Experience with Kafka, Hadoop/Hbase/Pig or MapReduce/Bigtable
Results-oriented with a strong customer and business focus.
Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments.
Able to communicate and discuss complex topics with technical and non-technical audiences.