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You will be updated with latest job alerts via email$ 127000 - 297000
1 Vacancy
Who We Are:
X serves our community of users and customers by working tirelessly to preserve free expression and choice create limitless interactivity and create a marketplace that enables the economic success of all its participants.
Who You Are:
For every ad shown on X our machine learning systems evaluate in realtime millions of ad candidates behind the scenes to find the best one. We are looking for talented individuals to further develop this stateoftheart system working as part of machine learning and engineering teams. Were looking for a key individual contributor to drive our advertising performance forward.
What Youll Do:
In this role you will:
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 highvolume realtime data streams in a machine learning environment
Youll own significant projects endtoend.
Code using primarily Java and Scala; MapReduce 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 relationship among entities.
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.
Youve built and maintained a largescale distributed system and/or machine learning data pipeline.
Industry experience with online advertising and/or largescale 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
Full-Time