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Senior Software Engineer (Machine Learning and Artificial Intell
LOS ANGELES CA 90001
Category: Telecommunications
  • Your pay will be discussed at your interview

Job code: lhw-e0-88399333

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Samsung Mobile

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Summary

  Job posted:   Tue Apr 17, 2018
  Distance to work:   ? miles
       
  1 Views, 0 Applications  
 
Senior Software Engineer (Machine Learning and Artificial Intell
**General Description**
Technical professionals are defined by what they create. Samsung has the risk taking corporate culture, strategic R&D; investments, and global know-how to imagine, develop, and market products that lead the industry. Samsung's Visual Display Intelligence Lab located in Mountain View, California is currently recruiting world-class engineers who share our "Innovation through passion" philosophy and thrive in a fast-pace, results-driven environment.
**Necessary Skills / Attributes**
Responsibilities
* Research and develop machine learning systems that help train or serve models
* Research and develop new ML algorithms to aid in voice processing and recommendation systems
* Quickly prototype new ideas/technologies to create proof of concept and demos
* Contribute to the organization's strong drive to be on the cutting edge of technology through the generation of patentable ideas
* Effectively communicate with global engineering teams Requirements
* MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
* 5+ years of academic or industrial experience in AI/ML domain.
* Experience with ML frameworks such as: Tensorflow, Caffee, Keras, Numpy, etc.
* Experience in Python and/or C++.
* Experience with Deep learning and neural networks.
* Experience with both supervised and unsupervised machine learning models.
* Familiar with ML algorithms such as but not limited to Regression, Classification, Clustering, etc.
* Experience with regularization techniques such as but not limited to: Dropout, weight decay, generative pre-training, etc.
* Ability to read recent ML research papers and adapt those models to solve real world problems
* Solid understanding on various software development tools, software process, and environments: IDE, debugger, source control, bug tracking, etc.
* Ability to multi-task effectively under considerable pressure and deadlines and easily adapt within a fast-paced environment.
* Excellent communication and organizational skills. Plus
* Voice/Audio processing background.
* Natural Language Processing background.
* Familiarity with building cloud systems and/or using cloud services for machine learning.
* Familiarity or experience using knowledge graphs.
* Familiarity with convolutional and recurrent neural networks.
* Familiarity with state-of-the-art optimization algorithms.
**Company Information**
Founded in October 1988, Samsung Research America (SRA) is a wholly-owned subsidiary of Samsung Electronics Co. Ltd, South Korea. SRA is headquartered in Silicon Valley, CA. with offices across the US. SRA is engaged in researching emerging technologies to create new businesses, and developing core technologies to enhance the competitiveness of Samsung's products. SRA offers a competitive compensation package for R&D; achievements so that researchers can focus on developing cutting edge technology. The primary research areas of SRA include: advanced software, content/services, user experience as well as other new and emerging technologies. Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich your life. Our mission is to research and develop new technologies by partnering with the best and brightest and creating a collaborative environment between industry and academia. Headquartered in Silicon Valley, with locations in many technology centers in North America, SRA is driven to build a culture of innovation that rapidly translates research and new ideas into the unexpected.
*Category:* S/W Engineering
*Travel Required:* 10%
*Full-Time/Part-Time:* Regular Full-Time
*Location:* , Mountain View California, Mountain View California, Mountain View California, Mountain View California

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