LG전자 북미 채용 공고 안내

안녕하세요. 
 
PKA에서 LG전자 북미채용 공고에 대하여 안내드립니다.  
자세한 사항은 아래내용을 참고해주시기 바랍니다. 
여러분의 많은 관심과 참여 부탁드립니다. 
 
감사합니다. 
 
PKA 리쿠르팅 담당 드림
–        지원요건
o   컴퓨터공학전자전기공학통계학  AI 머신러닝 유관 박사과정졸업자
o   최종합격  2개월이내에 근무 시작 가능해야 
o   캐나다/미국에서합법적으로 근무 가능해야 
–        근무지캐나다 토론토 / 미국실리콘밸리
–        필요 서류: CV 1
–        접수: 2018 6 29일까지juhyung3.lee@lge.com 으로 메일 접수
–        문의사항: LG전자 북미채용팀 이주형사원 (juhyung3.lee@lge.com)

AI/Machine Learning Scientist – Toronto AI Lab

LG is looking to push boundaries of AI to build innovative disruptive product and services solutions to realize LG’s global vision for a connected world. As a part of this initiative, LG has set up an Advanced AI organization in North America centered in Silicon Valley. We are looking to tap into the world-class talent in Canada by establishing a first R&D lab in Toronto.

As part of LG’s North America AI initiative, we are looking for passionate and talented AI / Machine Learning scientists and engineers for our Toronto AI Lab to work closely with the global AI labs on novel and disruptive solutions that will shape out LG’s global vision for Connected Home, Connected Cars, IoT and Robotics.

The candidate will work with multi-disciplinary team in Silicon Valley, including data scientists, product managers and software developers, to design and launch AI products and solutions that help predict, personalize and transform lifestyles of LG’s global footprint of devices and users. Seniority will be commensurate with experience and accomplishments.

AI research scientists will work on advanced research topic and challenging business problem in the machine learning, natural language understanding, machine perception and cyber-physical systems, using emerging disruptive technologies. Research scientists and engineers will also design novel experiments, invent machine learning algorithms, and create prototype implementations. Research scientists and engineers are also encouraged to publish high quality papers and patents and collaborate with leading academic universities in this field.

Principal Duties and Responsibilities:

  • Develop AI/machine learning solutions targeted towards disruptive opportunities for LG business, based on perception, computer vision, speech, audio, cyber physical systems, etc.
  • Build novel machine learning/AI algorithms to develop differentiating IP for LG
  • Build quick Proof of Concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions
  • Actively participate in the research and academic community by disseminating novel results in top conferences and journals
  • Stay up-to-date on developments in the field and propose long term capability buildup
  • Collaborate with other R&D groups as well as business units within LG (around AI) while maintaining clear differentiation and value in our specific offerings, and leading the path of innovative value driven AI solutions.
  • Leverage experience with systems, and application development to realize products/offerings in multi-disciplinary settings.

Job Requirements:

  • PhD in Computer Science, Electrical Engineering, statistics or related quantitative discipline with a focus on Machine Learning/AI/Reinforcement learning or related areas with at least 3 years of experience (Project experiences during the course of Ph. D. are recognized as professional experiences)
  • Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
  • Strong publication record in top conferences and journals
  • A demonstrable track record of developing novel algorithms, solutions and delivered/deployed projects in the area preferred.
  • Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and Large-scale optimization preferred.
  • Hands on coding experience in two or more of C/C++, Python, Scala, Lua, Java, R, Matlab
  • A sense of ambition and passion to change the world using AI and machine Learning
  • Experience in autonomous driving, smart city/home, IoT and application of AI/Machine learning in the context of these domains preferred

AI/Machine Learning Scientist – Silicon Valley AI Lab

LG is looking to push boundaries of AI to build innovative disruptive product and services solutions to realize LG’s global vision for a connected world. As a part of this initiative, LG has set up an Advanced AI organization in North America centered in Silicon Valley.

As part of LG’s North America AI initiative, we are looking for passionate and talented AI / Machine Learning scientists and engineers for our Silicon Valley AI Lab to work closely with the global AI labs on novel and disruptive solutions that will shape out LG’s global vision for Connected Home, Connected Cars, IoT and Robotics.

The candidate will work with a multi-disciplinary team in Silicon Valley, including data scientists, product managers and software developers, to design and launch AI products and solutions that help predict, personalize and transform lifestyles of LG’s global footprint of devices and users. Seniority will be commensurate with experience and accomplishments.

AI research scientists will work on advanced research topic and challenging business problem in the machine learning, natural language understanding, machine perception and cyber-physical systems, using emerging disruptive technologies. Research scientists and engineers will also design novel experiments, invent machine learning algorithms, and create prototype implementations. Research scientists and engineers are also encouraged to publish high quality papers and patents and collaborate with leading academic universities in this field.

Principal Duties and Responsibilities:

  • Develop AI/machine learning solutions targeted towards disruptive opportunities for LG business, based on perception, computer vision, speech, audio, cyber physical systems, etc.
  • Build novel machine learning/AI algorithms to develop differentiating IP for LG
  • Build quick Proof of Concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions
  • Actively participate in the research and academic community by disseminating novel results in top conferences and journals
  • Stay up-to-date on developments in the field and propose long term capability buildup
  • Collaborate with other R&D groups as well as business units within LG (around AI) while maintaining clear differentiation and value in our specific offerings, and leading the path of innovative value driven AI solutions.
  • Leverage experience with systems, and application development to realize products/offerings in multi-disciplinary settings.

Job Requirements:

  • PhD in Computer Science, Electrical Engineering, statistics or related quantitative discipline with a focus on Machine Learning/AI/Reinforcement learning or related areas with at least 3 years of experience (Project experiences during the course of Ph. D. are recognized as professional experiences)
  • Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
  • Strong publication record in top conferences and journals
  • A demonstrable track record of developing novel algorithms, solutions and delivered/deployed projects in the area preferred.
  • Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and Large-scale optimization preferred.
  • Hands on coding experience in two or more of C/C++, Python, Scala, Lua, Java, R, Matlab
  • A sense of ambition and passion to change the world using AI and machine Learning
  • Experience in autonomous driving, smart city/home, IoT and application of AI/Machine learning in the context of these domains preferred
Filed in: PKA 리쿠르팅

Leave a Reply

You must be Logged in to post comment.

610 Purdue Mall, West Lafayette, IN 47907 | Private Policy | Report Error
© 2018 Purdue Korean Association. All rights reserved.