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Senior Machine Learning Scientist

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Plus

2021-12-03 07:32:22

Job location San Francisco, California, United States

Job type: fulltime

Job industry: Science & Technology

Job description

Plus is a cutting-edge self-driving technology company with the mission to apply artificial intelligence into logistics industry and passenger vehicles. We aim at improving vertical industry efficiency, upgrading industrial products, and offering a comprehensive product solution to real-world problems. Work on cutting edge driver monitoring systems, evolving into all aspects of pedestrian and human detection.


Responsibilities

  • Participate in product development lifecycle of ADAS DMS (Driver Monitoring System): requirement documentation, architect/design, implementation, testing, and deployment to target embedded platforms
  • Develop and implement CV/DL algorithms include but not limited to: face detection, facial component detection, facial landmark/keypoints localization, head pose estimation, facial action recognition, gaze estimation, 3D pose estimation and localization
  • Data collection, preprocessing, labeling, testing, and analysis
  • Conducting testing and validation including equipment set up, sensor configuration, and camera calibration
  • Understand the state-of-the-art deep learning models/algorithms and rapid prototyping
  • Continuously improve the accuracy of deep learning models
  • Optimize deep learning models for efficient inference on embedded platforms


Qualifications

  • 2+ years industry experience in one or more of the followings: DMS, face recognition, 3D computer vision, machine learning/deep learning for mobile/embedded systems
  • Strong proficiency in C++ and Python
  • Familiarity with PyTorch or TensorFlow deep learning frameworks
  • Strong written and verbal communications
  • Self-motivated, comfortable operating without direct supervision


Desired

  • Master's degree or PhD in a related technical field
  • Experience in developing software for automobile industry
  • Examples of your work such as open source projects and/or conference or journal publications



Perks

  • Forge the future of autonomous transportation while collaborating with AI experts from around the world
  • Catered free lunch, unlimited snacks and beverages
  • Competitive salary, stock options, and outstanding benefits package

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