Senior Software Development Engineer
Take the earth's most customer centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually and an opportunity to lead mulitple teams of engineers, scientists and product managers building product recommender systems. What do you get? The best job opening in Recommender Systems today - PERIOD.
Are you passionate about helping customers learn about products they'd be interested in buying? A newly released book from a favorite author, some cool games, a movie to watch with friends at home on a friday night, the latest fall collection in clothing... The list goes on. Amazon's Recommendations team is looking for engineers with a strong desire to build great recommender systems and meet the demands of a rapidly growing business in the age of digital and mobile.
This is one of the most exciting job opportunities in recommender systems today. An opportunity to work at the company where it all started, doesn't come by very often. So grab it while you can and reach out to us.
Recommender systems at other companies focus on only one vertical - just movies, just music or just people (you may know)... At Amazon, we build recommender systems for all product categories - E-Books, Music, Movies, Games, Clothing and Accessories, Electronics, Consumables, Home and Garden and Sports (to name a few). Ever spent time thinking about how to build a great recommender for Clothing? How about Mobile
Apps? What about Shoes?
How should algorithms that suggest recommended products on Amazon's
gateway page differ from those that target the search page, detail page, shopping cart page and the thank you page. What should we optimize for - clicks, units sold, sales or conversion? How should we deal with free products? What about frequent buyer programs like Amazon Prime?
What should Personalized Search on Amazon look like? How should Amazon integrate with and use social networks in personalization? How should we use Machine Learning to build optimal recommender systems? How can we exploit the rich structure of Amazon's catalog to build semantic recommendations? How can we optimize our algorithms for tablets, mobile phones, TVs and desktops?
These are all the problems we tackle every day. If you think you have answers to these questions and many others that aren't included here,
then we want to talk to you. If you have deep experience in Machine
Learning, Data Mining, Collaborative Filtering or Search, know how to
deliver, are highly innovative and want to build systems that
contribute immensely to the company's bottom line, then we want to
talk to you.
You will develop and own software and systems that drive billions
of dollars in attributed sales. You will work with leaders in your
organization and across other organizations in Amazon such as Kindle,
Mobile and Retail to deliver a world-class product recommendations
experience.
About you:
You are a software developer with an entrepreneurial streak. You like
building great products - ready to do whatever it takes - algorithms,
systems, data analysis, front-end features. You have a strong interest
in machine learning, data mining, search or recommender systems. You
have great problem solving skills. You love keeping abreast of the
latest academic research and use it to help you innovate. You have
strong leadership qualities, great judgement, clear communication
skills and a track record of delivering great products.
- An advanced degree in Computer Science, Mathematics or related field.
- Strong verbal an written communication skills.
- Excellent problem solving skills.
- A passion for data driven decision making.
- A strong product focus.
- 5+ years of software development experience.
- A Ph.D. in CS - Machine Learning, Recommender Systems, Statistics, Mathematics or in a highly quantitative field.
- A strong track record of innovating in Machine Learning.
- Strong programming skills in Java/C/C++.
- Experience with Amazon Web Services.
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