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An established industry player is seeking a Senior Software Engineer for their Ads Experimentation Platform team. This role involves collaborating with data science and product leaders to enhance experimentation tools and methodologies, ensuring the voices of customers are heard. You will tackle complex challenges in A/B testing and ad pacing while building scalable solutions that drive efficiency in a dynamic marketplace. If you're passionate about leveraging data to guide product development and thrive in a collaborative environment, this opportunity is perfect for you. Join a forward-thinking company dedicated to innovation and excellence in the digital advertising space.
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.
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.
Reddit ads marketplace is a dynamic and complicated environment where millions of engagements among Reddit users, advertisers and the platform occur every second. It’s critical for us to extract useful and statistically significant signals from the massive volume of events to guide the product developments and decisions in a scientific way.
The Ads Experimentation Platform (AEXP) team builds tools for our engineers and scientists to accurately test new products and efficiently verify new ideas in the ads marketplace. Have you heard about Budget Cannibalization? Have you wondered why a user-split A/B testing is insufficient in testing products in the Ads marketplace? How can we make the most out of rare and sparse samples (e.g. conversion events)? How can I explore 100 algorithmic candidates at the same time? These are the typical problems we are dealing with on a daily basis.
Meanwhile, Ads Pacing plays a crucial role in both supporting the dynamism of the marketplace and accommodating the budget-aware A/B experiments, therefore our team is also committed to building scalable and flexible pacing infrastructures that improves the market efficiency and budget-aware testing capacity.
Some of the project highlights include:
As a senior software engineer in the Ads Experimentation Platform team, you will work closely with data science partners and product leaders to improve the capacity and efficiency of existing experimentation tools, research and build new testing methodologies and tools, and lead the experimentation practices across the Ads marketplace teams. You will collaborate with cross-functional engineering, product, and data science teams to ensure that our customers’ voices are represented in your work.
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