Twitter is looking for new members of our technical staff to work on new and existing monetization products. You will work on matching and targeting algorithms, ad optimization, and ad quality. You will be equally comfortable doing incremental quality work and also building brand new systems to enable future quality improvements. This includes ad engagement prediction, user modeling, simulating behavior, auction theory & market dynamics work, etc. Coding will range from ad-hoc one off analysis to production quality code that handles hundreds of millions of requests per day.
Your code will have immediate impact on user experience - the bar for which is high - and revenue.
You will work in small teams, own the projects that you work on, and will have direct input into the business decisions of the company.
Responsibilities
Implement and use statistical and learning tools for improving relevance and yield
Analyze, design, and implement scalable relevance and targeting algorithms in production setting
Willing to get your hands dirty - we are early stage and we need people to own and build massive pieces that don’t yet exist
Code using primarily Java, Scala, and Python
Conduct design and code reviews
Interface with analytics, product, and operations teams
Work with large unstructured and structured data sets (large multi-terabyte+, 100MM+ daily transaction volumes)
Requirements
M.S. in Computer Science or equivalent experience, PhD a plus
Demonstrable experience in developing and implementing scalable matching and relevance algorithms
Experience in statistical methods, data modelling, and machine learning
Experience mapping business needs to engineering systems
Experience working in team environments with limited supervision
Experience in Hadoop or similar analytics environments is a plus
Software Engineer, Ads Systems
About This Job
Twitter is looking for new members of our technical staff to work on cutting edge monetization projects. You will work in small teams, own the projects that you work on, and will have direct input into the business decisions of the company.
Responsibilities
Architect and implement scalable monetization infrastructure
Implement statistical tools for improving relevance and yield
Interface with product, front-end, and operations teams
Code primarily in Java, Scala, Ruby, and Python
Conduct design and code reviews
Work with large unstructured and structured data sets (large multi-terabyte+, 100MM+ daily transaction volumes)
Requirements
M.S. in Computer Science or equivalent experience, PhD a plus
Experience mapping business needs to engineering systems
Experience working in team environments with limited supervision
Passion for correctness, and for shipping solutions
Desire to work where you are given freedom and responsibility, and also held accountable for product and engineering launches
Experience building large scale distributed systems (ads, search, etc) is a plus
Experience developing large software systems is a plus
Follow
www.twitter.com/JoinTheFlock for
more recruiting info.
Twitter - 16 months ago
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