Data Science Engineer

Data Science Engineer

Mountain View, CA 94043 2016-10-12 - –

Samsung_RA Samsung Research America

Data Science Engineer
Samsung Research America (Computing Science Innovation Center)

Mountain View, CA

Position Summary:

The Samsung Computing Science Innovation Center is seeking a talented, highly motivated individual to join our Smart Systems team as a Research Data Science Engineer. The Computing Science Innovation Center is a key part of Samsung’s global R&D effort and aims to have direct impact on future Samsung products reaching hundreds of millions of users worldwide. The Smart Systems team is focused on advancing the state-of-the-art in system architectures, tools, protocols, and algorithms for smart homes. In this team, you will be responsible for collaborating with world-class researchers to produce proof-of-concept technology demonstrations on current and upcoming Samsung product platforms.

Responsibilities:

  • Build software systems, prototypes, and applications that incorporate machine learning
  • Explore new ideas and conduct research collaboration with our existing Smart Systems team
  • Write well-structured and re-usable code in programming languages such as Java, Python, and C/C++
  • Execute experiments to evaluate the performance and effectiveness of new technology
  • Obtain, clean, and manage experimental data sets, such as those acquired from Samsung devices
  • Be comfortable using machine learning platforms such as TensorFlow/Caffe
  • Maintain awareness of new prototyping tools, toolkits, libraries, and APIs as they emerge
  • Thrive in a fast-paced, innovative environment

    Qualifications:

  • BS/MS in Computer Science or equivalent
  • 3+ years of programming experience in Java or similar languages
  • Knowledge of tools used for machine learning and data analysis, such as MATLAB, R, and SQL
  • Hands-on experience in machine learning applications and models
  • Collaborative and inquisitive nature
  • Strong verbal and written communication skills
  • To apply for this job please visit tinyurl.com.