AI AND DEEP LEARNING ENGINEER
Kneron, San Diego, CA, United States
AI and Deep Learning Engineer
We are looking for an AI and Deep Learning Engineer to implement novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio tasks and push state‑of‑the‑art performance. The role includes researching and developing audio applications such as speech recognition, voice recognition, and voice wake‑up using state‑of‑the‑art deep‑learning algorithms, as well as computer vision applications including 3D estimation and segmentation. The engineer will also deploy deep‑learning models onto the Kneron AI accelerator and will work either as an intern or full‑time employee.
Responsibilities
Implement novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio related tasks and push state‑of‑the‑art performance.
Research and develop audio applications including speech recognition, voice recognition, and voice wake‑up using state‑of‑the‑art deep‑learning algorithms.
Research and develop computer vision applications including 3D estimation, segmentation and similar tasks.
Deploy deep‑learning models onto the Kneron AI accelerator.
Join the team as either an intern or full‑time employee.
Qualifications
M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics, or a similar field (Ph.D. preferred).
Solid understanding and experience applying deep learning to real problems in audio and computer vision domains.
3+ years of industry experience with deep‑learning algorithm development and optimization.
Strong experience in C/C++ programming (a plus).
Hands‑on experience with deep‑learning frameworks such as OpenCV, TensorFlow, Keras, PyTorch, and Caffe.
Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.
Experience with parallel computing, GPU/CUDA, DSP, and OpenCL programming is a plus.
Top‑tier conference publication record, including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, is a strong plus.
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We are looking for an AI and Deep Learning Engineer to implement novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio tasks and push state‑of‑the‑art performance. The role includes researching and developing audio applications such as speech recognition, voice recognition, and voice wake‑up using state‑of‑the‑art deep‑learning algorithms, as well as computer vision applications including 3D estimation and segmentation. The engineer will also deploy deep‑learning models onto the Kneron AI accelerator and will work either as an intern or full‑time employee.
Responsibilities
Implement novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio related tasks and push state‑of‑the‑art performance.
Research and develop audio applications including speech recognition, voice recognition, and voice wake‑up using state‑of‑the‑art deep‑learning algorithms.
Research and develop computer vision applications including 3D estimation, segmentation and similar tasks.
Deploy deep‑learning models onto the Kneron AI accelerator.
Join the team as either an intern or full‑time employee.
Qualifications
M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics, or a similar field (Ph.D. preferred).
Solid understanding and experience applying deep learning to real problems in audio and computer vision domains.
3+ years of industry experience with deep‑learning algorithm development and optimization.
Strong experience in C/C++ programming (a plus).
Hands‑on experience with deep‑learning frameworks such as OpenCV, TensorFlow, Keras, PyTorch, and Caffe.
Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.
Experience with parallel computing, GPU/CUDA, DSP, and OpenCL programming is a plus.
Top‑tier conference publication record, including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, is a strong plus.
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