工作內容

NVIDIA Diag Team is now seeking an extraordinary Data Scientist to solve challenges in the GPU server manufacturing process. As a team member, you will be designing a Machine Learning / Deep Learning platform for valuable internal and external products and systems. You will participate in Data Analysis and Reporting system development and communicating with internal and external customers. What you'll be doing: Develop a high-performance and high-availability in-house real-time analytics system with other engineers from different teams We will also design and develop various ML pipelines and train and evaluate ML models Lead many DL/ML projects related to various NVIDIA products in GPU server areas Participate in the development of an automatic data cleanup and validation system owned by your team At the same time, you will communicate with external teams to help them in their Data Analytics projects What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent) with 5+ years of meaningful work experience Fully understand parallel computing on multi-threads and multi-processes You are expected to be fluent in DL/ML (Statistics, Fraud/Anomaly detection, A/B testing, etc) and Data Analytics Flawless understanding of Regression, Classification, Clusterization (transactional and real variables), and embedding methodologies, their pros/cons are very significant We expect to see excellent communication skills, ability to document and present the current status and final project deliveries Intermediate/upper-intermediate oral and written technical English Skills of working in an internationally distributed team Self-motivated, engaged, eager for self-education Ways to stand out from the crowd: We appreciate additional programming skills in R, Python, C/C++ as well as it's important to have basic Linux skills Experience in any of sklearn, scipy, numpy, pandas, matplotlib, pytorch, NLP, and searching/indexing Deep understanding of DL models development (Transformers, MLPs, Convolution) is valuable With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

工作待遇

待遇面議

(經常性薪資達 4 萬元或以上)

工作性質

全職

上班地點

台北市內湖區基湖路8號 (距捷運西湖站約230公尺)

管理責任

不需負擔管理責任

出差外派

無需出差外派

上班時段

日班

休假制度

依公司規定

可上班日

不限

需求人數

1人

條件要求

工作經歷

2年以上

學歷要求

大學以上

科系要求

不拘

語文條件

不拘

擅長工具

不拘

工作技能

不拘

其他條件

未填寫

歡迎所有求職者,與
外籍人士
身心障礙人士,需附身心障礙證明

福利制度

為您與家人帶來的福利 NVIDIA員工努力開發全球最佳的視覺運算技術。同樣的,NVIDIA亦提供完整優渥的福利方案! NVIDIA為員工及家人提供最好的支持,協助他們在生活與職場生涯中取得最佳的平衡點。 【醫療保險】 NVIDIA重視員工的健康與福祉,為所有員工提供完善的醫療福利: •勞工保險 •全民健康保險 •團體保險(涵蓋定期壽險、重大疾病險、傷害險、醫療險、職業災害險、癌症險、疾病門診險、海外旅遊平安保險等) •公司針對員工眷屬及子女也提供部分醫療補助,照顧員工的事業與家庭,讓員工無後顧之憂 【健康管理方案】 •年度健康檢查 •流感疫苗免費接種 【財務福利】 •員工購股方案 (ESPP) 【休假福利】 NVIDIA的企業文化就是全力工作。但NVIDIA亦瞭解每個人都須偶爾放鬆與休閒或處理私人事務。NVIDIA提供優於勞基法所規定之休假,讓同仁找到工作與生活之平衡 •週休二日 •國定假日 •特休年假 •彈性休假 •給薪病假 •婚假 •產假 •陪產假 •喪假 【教育訓練】 鼓勵同仁在工作之餘,也能提昇自我知識技能。協助同仁達成工作要求,推動公司的成長,包含語文訓練、在職訓練、管理發展訓練、員工生涯發展訓練等。 【其他福利】 •結婚津貼/生育津貼/生日禮金 •喪葬補助 •員工推薦計畫 •員工協助方案 要列出NVIDIA 所有 “其它福利”並不容易,因為隨著NVIDIA努力提供更優渥的福利之際,福利內容會持續修改。

聯絡方式

聯絡人

HR
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