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Engineering
Engineering
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Software Engineer - Visual Search
at TheFind in Mountain View, CA
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Apr 28, 2013
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Overview
We’re looking for a top notch engineer for visual shopping search. We have a gigantic database of products with their images. You’ll be working on advanced technologies to improve the customer user experience on various types of visual search on these images. You’ll be looking through the cutting edge work in computer vision, and inventing some stuff yourself to solve relevance problems at this scale. Background in machine learning is required since it’ll be heavily involved. Work will require algorithmic innovation, as well as implementing and deploying solution in production.
About TheFind:
TheFind is a pre-IPO startup in the Bay Area in the area of ecommerce ($200 billion market). We’re building a shopping search engine that will be the premier shopping destination on the web, beating Amazon and Google. TheFind is solving fundamental problems in comprehensiveness and information extraction in the shopping domain by using machine learning.
We successfully crawl a billion web pages and use automated machine learning methods to do product extraction and search relevance. We are focusing on all areas of shopping search like comprehensiveness, price comparison, coupons & deals, reviews, local shopping search, eco-friendly shopping, hot trends, personalized and social shopping, visual shopping search, mobile shopping etc.
The vision of TheFind is to become the starting point for shopping search on the web.
Some Stats about TheFind:
- Targeting $5.2B online shopping advertising spend. Funded by Redpoint, Lightspeed, Bain Capital Ventures
- Leadership team from Stanford, Princeton, UCB, Harvard, IIT, BITS Pilani, GSB, Yahoo/Inktomi/Altavista, Oracle, Microsoft, VMware, eBay, Verity
- 450 million products, 500,000 stores. Compare this with shopzilla/shopping.com/pricegrabber/amazon (~20 million products, ~5000 stores)
- Largest coupon search index, largest local shopping search index, largest visual search index, largest social commerce index
- 6 patents granted
About TheFind:
TheFind is a pre-IPO startup in the Bay Area in the area of ecommerce ($200 billion market). We’re building a shopping search engine that will be the premier shopping destination on the web, beating Amazon and Google. TheFind is solving fundamental problems in comprehensiveness and information extraction in the shopping domain by using machine learning.
We successfully crawl a billion web pages and use automated machine learning methods to do product extraction and search relevance. We are focusing on all areas of shopping search like comprehensiveness, price comparison, coupons & deals, reviews, local shopping search, eco-friendly shopping, hot trends, personalized and social shopping, visual shopping search, mobile shopping etc.
The vision of TheFind is to become the starting point for shopping search on the web.
Some Stats about TheFind:
- Targeting $5.2B online shopping advertising spend. Funded by Redpoint, Lightspeed, Bain Capital Ventures
- Leadership team from Stanford, Princeton, UCB, Harvard, IIT, BITS Pilani, GSB, Yahoo/Inktomi/Altavista, Oracle, Microsoft, VMware, eBay, Verity
- 450 million products, 500,000 stores. Compare this with shopzilla/shopping.com/pricegrabber/amazon (~20 million products, ~5000 stores)
- Largest coupon search index, largest local shopping search index, largest visual search index, largest social commerce index
- 6 patents granted
Experience
Requirements:
PhD in computer science or a master’s degree with equivalent experience. PhD in computer vision is ideal.
Domain expertise in computer vision or image processing. Skills in object detection, recognition, and/or tracking are a plus.
Machine learning, information retrieval, or data mining is a plus.
Proficiency in C++
Excellent communication skills, solid work ethic, and a strong desire to write production-quality code
Compensation
We give competitive salary, stock options, health benefits, 401K etc. You’ll be joining a group of experienced folks who love to innovate
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