NVIDIA火热招聘 资深数据科学家-NLP

NVHR

NVIDIA火热招聘 资深数据科学家-NLP

基本要求:
英语口语流利, 熟悉NLP相关算法

工作地点：上海 北京 深圳
简历投递： tracyw@nvidia.com     WeChat: 1751315121

公司介绍：
NVIDIA-人工智能计算领域-从游戏到人工智能计算
实践证明，GPU 能够非常有效地解决计算机科学领域中一些极其复杂的问题。GPU 一开始用作模拟人类想象力的引擎，创造出视频游戏和好莱坞电影中令人惊叹的虚拟世界。如今，NVIDIA GPU 用于模拟人类智力，运行深度学习算法，并在能够感知和理解世界的计算机、机器人和自动驾驶汽车中发挥大脑的作用。NVIDIA 的“AI 计算公司”名头越来越为人所知。
Website:    http://www.nvidia.cn/object/ai-computing-cn.html

Are you interested in solving the most complex data science problems for gaming platforms? We are looking for motivated and talented individuals at various career stages of their careers. As a principal engineer, you will play a critical data scientist role in the team. You should be able to influence other developers to come up with the right design and architecture for their components and make them the model for common patterns going forward. You must have good partnership and influencing skills to be able to work across multiple teams.
As a data scientist in gaming platform team, you would help us understand and drill down into gaming session experience using data.  As a data scientist you will turn data into information, information into insight and understand the customer. You will work closely with our leadership team, internal partners and engineering, providing them insight and data that enables effective changes across the organization.
Are you a talented, visionary and ambitious person who can help us grow our solutions for the data analysis for millions of gamers from all over the world?
What you will be doing:
•Design and implement automated, scalable NLP models for accessing and presenting information.
•Analyze and develop model to address quantitative data on gaming experiences.
•Develop frameworks for data ingestion and processing.
•We want you to extend intelligent approaches to detect and to root cause the outliers in the data models, to identify inconsistencies in data. You will come up with scalable algorithms (for data processing and machine learning) on how to diagnose the root causes of errors.
•You will act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery. You will prepare documentation for the processes, policies, data formats, test cases and the expected results within the scope of your projects.
What we need to see:
•Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.
•Strong academic work and professional experience in machine learning and deep learning, 7+ years professional experience in following areas:  text analysis, topic extraction, classification and clustering, personalized user modeling, text mining, chatbot.
•In the fields of data mining and machine learning, have the successful experience and ability to design solution and  apply algorithms to actual production systems.
•Experience in Deep Learning frameworks such as TensorFlow, Pytorch.
•We expect you to have system design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. You have a passion for efficient algorithms and data structures, advantages/limitations of using them in distributed environments.
•Excellent interpersonal, presentation and reporting skills should be your strong sides.