SCIM does not work under ubuntu 9.10?# Linux - Linux 操作系统
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#湾区AI Startup招聘#NLP/Deep learning/Computer Vision方向 MS 3yrs/PhD 2yrs
Sponsor H1B
##How to Apply: [email protected]/* */##
Location: San Jose,CA
Our current focus areas include AI, machine learning, especially deep
learning, Robotics, AR/VR, IoT, IIoT, Industry 4.0, Chips, and related
business driven, real-world applications. You will be part of a world-class
team, led by veteran Silicon Valley Sr. executives and technical experts!
We are looking for senior resources with AI deep learning and advanced
machine learning technologies, who has working experience to apply it to
real world applications, especially in Smart Home devices, Industrial
Manufacturing, Robotics, IoT, IIOT etc.
We have multiple openings, ideal candidate will take a role involving in one
or more the following duties and responsibilities:
Duties and Responsibilities
Develop large-scale machine learning, deep learning platform, and frameworks
. Optimize AI platform performance, algorithms to enable key AI solutions,
projects and products.
Evaluate, modify and maintain forks of open source deep learning frameworks,
such as one of the followings, TensorFlow, Caffe, Cuda-Convnet,
PaddlePaddle.
Develop realistic AI/machine learning solutions in one or more of the
followings,
AI assisted data mining, social mining, information classification,
Knowledge graph etc.
AI assisted decision-making, optimization for Smart home devices.
AI assisted industrial applications, such as defect diagnosis and prediction.
AI applications in Robotics
Face detection and recognition, pedestrian tracking, image classification,
video content recognition.
NLP, Speech recognition, synthesis
Requirements
Extensive knowledge and working experience in AI, machine, learning.
At least 3-5 years US working experience in deep learning, machine learning.
Hands on experience with Deep Learning tools such as Caffe, TensorFlow.
Familiarity with implementing algorithms on multi-core CPUs, clusters (MPI),
GPUs.
Experience in end-to-end AI based solutions, either cloud based or device
intensive computations.
Excellent programming skills: C/C++, CUDA, and python.
Master's or Ph.D. in computer science, electrical engineering or related
fields, or 10+ years AI working experience with Bachelor degree.
Big data experience in AI context a big plus.
Experience in data science, High Performance Computing and distributed
Computing, Embedded Systems will be desirable.
Experience with participating and winning machine learning competitions such
as ImageNet.
Excellent verbal and written communication skills. Results oriented person
with a delivery focus.
Ability to handle multiple competing priorities in a fast-paced environment.
##How to Apply: [email protected]/* */##
Sponsor H1B
##How to Apply: [email protected]/* */##
Location: San Jose,CA
Our current focus areas include AI, machine learning, especially deep
learning, Robotics, AR/VR, IoT, IIoT, Industry 4.0, Chips, and related
business driven, real-world applications. You will be part of a world-class
team, led by veteran Silicon Valley Sr. executives and technical experts!
We are looking for senior resources with AI deep learning and advanced
machine learning technologies, who has working experience to apply it to
real world applications, especially in Smart Home devices, Industrial
Manufacturing, Robotics, IoT, IIOT etc.
We have multiple openings, ideal candidate will take a role involving in one
or more the following duties and responsibilities:
Duties and Responsibilities
Develop large-scale machine learning, deep learning platform, and frameworks
. Optimize AI platform performance, algorithms to enable key AI solutions,
projects and products.
Evaluate, modify and maintain forks of open source deep learning frameworks,
such as one of the followings, TensorFlow, Caffe, Cuda-Convnet,
PaddlePaddle.
Develop realistic AI/machine learning solutions in one or more of the
followings,
AI assisted data mining, social mining, information classification,
Knowledge graph etc.
AI assisted decision-making, optimization for Smart home devices.
AI assisted industrial applications, such as defect diagnosis and prediction.
AI applications in Robotics
Face detection and recognition, pedestrian tracking, image classification,
video content recognition.
NLP, Speech recognition, synthesis
Requirements
Extensive knowledge and working experience in AI, machine, learning.
At least 3-5 years US working experience in deep learning, machine learning.
Hands on experience with Deep Learning tools such as Caffe, TensorFlow.
Familiarity with implementing algorithms on multi-core CPUs, clusters (MPI),
GPUs.
Experience in end-to-end AI based solutions, either cloud based or device
intensive computations.
Excellent programming skills: C/C++, CUDA, and python.
Master's or Ph.D. in computer science, electrical engineering or related
fields, or 10+ years AI working experience with Bachelor degree.
Big data experience in AI context a big plus.
Experience in data science, High Performance Computing and distributed
Computing, Embedded Systems will be desirable.
Experience with participating and winning machine learning competitions such
as ImageNet.
Excellent verbal and written communication skills. Results oriented person
with a delivery focus.
Ability to handle multiple competing priorities in a fast-paced environment.
##How to Apply: [email protected]/* */##
