As a member of the Enterprise Personalization team, you will help create and innovate on the next generation of Recommendation and Personalization technologies across multiple websites.
Our team owns and creates recommendations and other personalization features for Amazon's websites and enterprise businesses including Amazon, IMDb, Zappos, ShopBop, AbeBooks, etc.
We focus on recommending the right product to the customer at the right time using the latest machine learning techniques.
You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.
In Personalization, we use state-of-the-art machine learning techniques and A / B testing to run experiments on some of Amazon’s most prominent and valuable pages.
We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content.
As a member of the team, you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.
About our team : Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace.
We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action.
We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.
About you : You are a software engineer with an interest in machine learning, data science, search, or recommendation systems.
You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate.
You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products.
You enjoy working hard, having fun, and making history!
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix / Linux
- Experience in professional software development
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