Software Engineer - Ads

Details

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we’re on a mission to become the trusted global digital public square, committed to protecting freedom of speech and building the future unlimited interactivity. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!

Responsibilities

• Be involved in the full array of modern applied machine learning work, including ideation, experimentation, implementation, and maintenance.
• This includes work across our ads stack on predictive modeling, improving the way the system explores new traffic, mitigating effects of selection bias, effective budget pacing, efficient AB testing, accurate candidate ranking, visualizations, and more.
• Create scalable services that power new ad products that optimize monetization.
• We are also responsible for Ads Integrity and Brand Safety. Ads served cannot be illegal or scams and advertisers expect their ads to be placed next to brand safe content.
• Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment.
• You’ll own significant projects end-to-end.
• Code using primarily Java and Scala; Map-Reduce frameworks such as Pig and Scalding; and scripting languages such as Python.
• Learn new machine learning, data mining, and/or natural language processing techniques for a variety of modeling and relevance problems involving users, their tweets, their interests, X ads, and relationships among entities.

Requirements

Basic Qualifications

• Experience in Machine Learning or software engineering.
• Fluent in one or more object-oriented languages like Java, Scala, C#, C++.
• Experience and familiarity with the modern data pipeline and ML infrastructure ecosystem.
• Experience in web data analysis: Search engines, sponsored search, contextual ads, performance ads, recommender systems, click predictions, and ranking.
• Knowledgeable of core CS concepts such as common data structures and algorithms.
• Strong knowledge in deep learning, machine learning, and backend engineering.
• Comfortable conducting design and code reviews.
• You’ve built and maintained a large-scale distributed system and/or machine learning data pipeline.
• Industry experience with online advertising and/or large-scale distributed systems.

Preferred Qualifications

• Proficiency with Python and SQL.
• Experience owning a production machine learning system and/or pipeline.
• Enjoy working in an ambiguous space with no known product solutions, and trailblazing to build novel solutions that work.
• Ability to move fast and get things done, and help the broader team do so (to enable rapid iteration on the product).
• Prior experience in Ads Integrity or Brand Safety.