• Research and develop scalable computer vision and machine learning solutions to hard problem
• Investigate and solve exciting and difficult challenges in image recognition/classification, object detection/tracking/recognition, 3D scan and deep learning
• Design, implement, and deploy full-stack computer vision and machine learning solutions
Skill and Qualification
• Required: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience
• Preferred: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience
• Strong understanding of Machine learning and Computer vision algorithms and applications, such as CNN/deep learning, and their optimizations for efficient implementation on embedded systems
• Solid foundation in computer vision; key areas of interest include object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; activity recognition
• Expert in algorithm modifications and optimizations for efficient processing including fixed point conversion, exploiting parallelism, balancing data transfer and computation
• Expert in use of Machine learning and computer vision frameworks and libraries such as Caffe, Torch, Tensorflow, OpenCV, etc
• Strong C/C++ programming skills, preferably in an embedded environment with DSP and GPU
• Ability to work individually or with a team of engineers to develop innovative Machine learning and computer vision applications and showcasing them on real-time platforms
• Health/Dental/Vision/Life Insurance with no employee contribution (including dependent coverage)
• 401K retirement plan
• Generous PTOs and paid holidays
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