Job Description
Amazon's Product Advertising program handles the placement of hundreds of millions of ad impressions every day on Amazon.com and other websites (See http://www.amazonservices.com/
We apply data mining and machine learning on terabytes of data to build intelligent systems addressing key problems in the online advertising space: when we show an ad, how likely is it to get clicked? What are the ads which are most relevant given the page content? Does a website have objectionable content?
We have a tight cycle of data mining, prototyping, and testing in production which allows us to make iterative improvements quickly.
Our business is rapidly expanding into new areas and bringing in new, challenging problems. We're seeking a skilled and innovative software engineer with aptitude in applied mathematics to help us build systems that can target ads better and realize higher revenue in the process.
About you:
You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You enjoy getting computers to make intelligent decisions in the face of real-world noisy data. You think statistics is a cool subject. You are excited at the opportunity of applying cutting-edge machine learning techniques to problems that significantly impact Amazon’s business. You can read a technical paper, understand and adapt an idea, build a prototype, release production code, and interpret the results rigorously.
You challenge yourself and others to constantly come up with better solutions. You're a thought leader and you demonstrate this by building solutions, not just by having ideas. You develop strong working relationships with others and want to work in a collaborative team environment.
About us together:
We're going to design and deliver the next generation of ad targeting and ad optimization systems. We're going to face seemingly impossible problems. We're going to argue about how to solve them, and we'll work together to find a solution that is superior to each of the proposals we came in with. At the end of the day, we will deliver something of great value to the Product Ads business and to Amazon, and we'll have fun and improve our skills along the way.
A few problem spaces we'll be working on:
Click-through-rate estimation – We show tens of millions of ads to tens of millions of users on tens of millions of pages daily. Ad clicks are rate events, yet it is important to be able to predict the probability of click of an ad accurately for any given display situation. How do you build a system that can make good predictions? How do you measure its accuracy? How do you improve it? And how do you ensure it scales to handle billions of predictions per day, in real-time?
Managing advertiser budgets – Our advertisers provide a daily budget which sometimes runs out. How can we “stretch” their budgets intelligently, so they can be exposed to traffic throughout the day? How can we expose merchants which are running low on budgets to only the most profitable opportunities? How do we do better budget forecasting to help merchants plan their budgets better?
What we are looking for:
A smart, proven engineer with a solid math and statistics background with a love for working with large data and building scalable intelligent systems.
Basic Qualifications
• Bachelor’s Degree in Computer Science, Math or related field
• 3+ years professional experience in software development
• Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis
• Mastery of at least one modern programming language such as Java or C/C++ and at least one scripting language such as Perl, Python, or Ruby
Preferred Qualifications
• MS or PhD in Computer Science, Math, or related field
• Experience building large-scale data mining systems
• Experience with algorithm development involving real-world noisy data
• Experience with application of machine-learning techniques
• Experience with statistical software such as R, SAS, or weka
• Experience delivering low-latency, consumer-internet-scale web services operating in a 24x7 environment
• Experience mentoring and training others on complex technical issues
• Proven ability to take a project from scoping requirements through actual launch of the project
• Solid coding practices including good design documentation, unit testing, peer code reviews, and a preference for agile methods
• Sharp analytical abilities, proven design skills, excellent communication skills
• Strong sense of ownership, urgency, and drive, and a track record of delivery
• Passion for building new products in a fast paced, team-oriented environment.
• 5+ years of industry experience
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