eBay招聘Research Assistant (eBay Research Lab )

发布时间：2007-01-03
工作地点：上海
信息来源：饮水思源
职位类型：全职
职位描述
eBay招聘Research Assistant (eBay Research Lab )
发信站: 饮水思源 (2007年01月03日13:35:19 星期三)



有意者请发简历至cdc-hire@
Candidates with data mining and statistics background will be preferred.

Job Title: Research Assistant (eBay Research Lab )

Job Responsibilities:

- Conduct research in any area of technology associated with the operation of

the business
- Support the research activities of other members of the research labs as wel

l as rotating researchers that will work as part of the team
- Publish and present interesting findings from their research
- BSEE, CS or other relevant technical degree required.


Job Requirements:

- 0 - 2 years related experience
- Experience with Java and/or C++ required.
- Experience with highly scalable applications and/or distributed systems a bi

g plus
- Proven results oriented person with a delivery focus
- Master degree or above, BSEE, CS or other relevant discipline.
- Candidates with data mining and statistics background will be preferred.


eBay Research Lab

eBay's search engine is one of the largest and most complex information retrie

val machines in the world. In order for the marketplace to work properly, all

of the information flowing through the site needs to be updated and searchable

in real-time. This includes the millions of items that enter and exit the sit

e every day, along with every bid placed, every listing update made and every

item purchased. To give you some perspective, each of the items listed on eBay

is updated an average of five times during its lifetime.

No off-the-shelf product available today is capable of this job, so we had to

develop our own search engine. eBay Research Labs developed a real-time search

engine with the ability to scale indefinitely. It uses a flexible attribute s

tructure and has built-in histogram functionality, allowing it to sort through

the 105 million listings on the site at any given time - all in real-time.

eBay Research Labs is now working on the next generation of search technologie

s. Search quality and relevance are important areas of research. An initial ve

rsion of relevant search is currently in use on eBay with the sort by "Best Ma

tch" feature, and we will soon be rolling out other versions on eBay.com. Thro

ugh great strides we've made in applying machine learning to our search engine

, search results will continue to become more relevant with each use.

The labs is also working on related areas like web-wide content aggregation, s

pam detection, content classification, content segmentation, productization, a

nd high performance search.