Bright:美國職位就業搜尋引擎是一個基於資料分析的職位搜尋服務，通過特殊演算法(algorithmic approach)將求職者的請求與招聘崗位配對。針對每個崗位，Bright系統會根據求職者的自身條件進行打分，這樣會讓求職者明白他們在選擇某一項崗位時的競爭優勢有多大。

Bright公司目前由美國職業社交網站LinkedIn週四宣佈出價1.2億美元收購，對於LinkedIn而言，Bright的賣點在於其針對簡歷和招聘崗位進行匹配的軟體。此外，Bright.com收集了大量關於求職市場的見解和資料，這對LinkedIn來說也具有一定的價值。

Bright公司始建於2011年2月，經過18個月的時間進行了大量的簡歷和職位之間的資料研究，通過研究280多萬份簡歷和860萬求職者的資訊資料，招聘數百名和人力資源專業人士以及15個數據科學家和工程師來共同研發這項工程，最終使用資料分析來研發了Bright:平臺，並於2012年6月推出。

Bright was started in February 2011. For 18 months we conducted what we believe to be the largest resume to job description study in history. The study included over 2.8 million resumes, 8.6 million job seekers, hundreds of recruiters and HR professionals, and a team of 15 data scientists and engineers. The data from this research endeavor was used to build the Bright Score, which launched on June 19, 2012.

The Bright Score is able to look at hundreds of features on a resume in an instant, allowing us to analyze and score a holistic view of a candidate in the time it would take a human evaluator to absorb at most a couple of words. So we can immediately identify the candidates who are fit to move forward at a comprehensive level that could only be matched if a recruiter spent an hour on every single resume.