[徵才] Bubbleye Junior ML Engineer [70k+]
[公司名稱] Bubbleye
[公司網址] http://bubbleye.com
[工作職缺] Junior machine learning engineer
(also hiring all levels of experience
based on our previous posts)
[公司地址] 三創 10F, 近忠孝新生捷運站
[職缺能力經歷要求]
Some experience building machine learning models
Natural Language Processing
Python, R
PhD or Masters degree in Statistics, Mathematics or Computer Science
Does diving into data thrill you? Join Bubbleye
and work in an exciting startup environment,
boosting our new machine learning projects.
We're looking for an individual with proven long
term experience in the design and implementation
of statistical models to study relationships among
content and users - including NLP, neural networks,
and deep learning.
Responsibilities will include designing advanced
models to fit real-time continuous data.
Formulating hypotheses, experiments and explanations
for proof of concepts. Finally, you will assist
our backend team to implement your elegant solutions.
Our fast-paced growth offers engaging possibilities
for the right candidate.
[員工是否需自備工具]
否，會提供筆電及螢幕
[薪資 (月薪)]
NT$70,000 up
[薪資 (保證最低年薪)]
70,000 x 12 = 840,000
[工時]
每日工作時間: 10:00 AM - 7:00 PM
每周工作時間: 8 * 5 = 40
加班費制度比照勞基法
[工作環境與團隊介紹]
目前團隊有五個人，CEO, COO,
和3位工程師致力於打造全新後端
目前團隊位於三創10F StarRocket
有個非常適合工作的明亮寬敞辦公室
和休息娛樂的撞球桌和投籃機
[工作福利]
無
[公司分紅與獎金]
員工配股
[公司介紹]
Bubbleye is solving mobile user acquisition inefficiencies by
enabling targeting based on qualitative interests. We connect
users to apps and games they actually want, and publishers to
their best suited audience. We make mobile user acquisition
affordable and effective.
At Bubbleye’s core is trust, respect and passion for growth.
We are looking for people who share this passion. We are closing
a new round of funding to scale our technology up, which is why
we need you: a talented and passionate individual excited to
learn and build awesome tech.
[人資或徵才聯絡方式]
歡迎直接投遞英文履歷至 hr@bubbleye.com
--
※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 118.160.97.167
※ 文章網址: https://www.ptt.cc/bbs/Soft_Job/M.1476161721.A.910.html
※ 編輯: habam (118.160.97.167), 10/11/2016 12:55:38
推
10/11 13:00, , 1F
10/11 13:00, 1F
→
10/11 14:02, , 2F
10/11 14:02, 2F
推
10/11 15:06, , 3F
10/11 15:06, 3F
→
10/11 16:17, , 4F
10/11 16:17, 4F
推
10/11 18:40, , 5F
10/11 18:40, 5F
推
10/11 20:38, , 6F
10/11 20:38, 6F
→
10/11 20:46, , 7F
10/11 20:46, 7F
→
10/11 22:38, , 8F
10/11 22:38, 8F
→
10/11 22:44, , 9F
10/11 22:44, 9F
→
10/11 23:09, , 10F
10/11 23:09, 10F
→
10/12 00:37, , 11F
10/12 00:37, 11F
→
10/12 00:38, , 12F
10/12 00:38, 12F
→
10/12 00:41, , 13F
10/12 00:41, 13F
→
10/12 02:01, , 14F
10/12 02:01, 14F
→
10/12 05:29, , 15F
10/12 05:29, 15F
→
10/12 06:45, , 16F
10/12 06:45, 16F