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About Etsy

Etsy is the world's most vibrant handmade marketplace. Our mission is to enable people all over the world to make a living making things. Etsy is growing rapidly and needs awesome, motivated people to join that mission. The growing Etsy community brings over 700 million page views per month, and Etsy counts over 3 million registered members in over 150 countries. Our sellers collectively list 2 million new items and sell more than $20 million of goods each month. Etsy operates transparently and you can check in to see how the Etsy community is doing in our monthly weather reports.

Etsy was founded by Robert Kalin, Chris Maguire, and Haim Schoppik. Union Square Ventures is an original investor, as are the founders of Flickr and Delicious. In early 2008, Etsy received $27 million in funding from Silicon Valley's Accel Partners.

The technical staff at Etsy believes that code is craft, good software and systems designs are works of art, and that the work we do is part of a larger creative culture represented by the hundreds of thousands of inspired makers who make Etsy such a wondrous marketplace. We believe that small, empowered, self-motivated teams can do big things. We also believe in the right tool for the job, not language-as-religion. Our current systems run PHP, Java, Python, Ruby, Solr/Lucene, Postgres, MySQL, and more.

What we are looking for: Senior Software Engineer / Machine Learning and Data Mining

In this position, you will manage a range of classification and optimization challenges to include payment fraud, collaborative filtering, recommendations, spam detection, click-through rate prediction, click-fraud detection, search ranking, and text/sentiment classification.

What you will be doing

• Developing highly-scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Analyzing disparate data sources to find previously-obfuscated patterns.
• Rapidly analyzing, solving and fixing problems.

Your background

• B.S. Computer Science. M.S. or Ph.D. preferred
• 5+ years experience within e-commerce, social media and/or financial services industry developing machine learning, classification, and information retrieval algorithms
• Experience with fraud prevention engineering and llarge-scale data mining for analytics.
• Proven ability to translate insights into business recommendations
• Experience in Agile methodologies and disciplined approach to testing and code quality
• Expert knowledge developing and debugging in object oriented languages including Java and C++
• Experience with Hadoop, HBase, Pig, and similiar technologies related to large-scale data processing
• Experience with scripting languages like Perl, Python, PHP, Ruby, and shell scripts.

What you are like

• Exceptional communication, leadership, and critical thinking skills. Ability to interact with all types of people, technical and non-technical
• Excellent organizational skills.
• Able to thrive in a dynamic, loosely structured and rapid growth environment.
• Able to embrace change and adapt easily and recover from setbacks.
• Willingness to work hard and think creatively.
• Strong initiative and ablility to self-manage. Must be comfortable working in an unstructured, creative, and fast-paced environment.

We're growing rapidly and are well-funded with a proven business model and established revenue to help us continue growing and serving our community. If you're interested in joining the team at Etsy, please send a cover letter along with your resume telling us what inspires you about Etsy and why you think you are perfect for the team.  If you contribute to an open source project, write a blog, or practice another craft besides software, that means something to us, and we would love to hear about it when you write.