Machine Learning Scientist, Autopilot hos Tesla Motors

The Role

As a member of the Autopilot Vision team you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving. A strong candidate will ideally possess at least one strong expertise in the following areas, and at least a basic familiarity in others.

Responsibilities

  • Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection
  • Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, etc.
  • Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device

Requirements

  • Solid understanding of linear algebra, algorithms, machine learning, optimization, numerical methods
  • Excellent Python coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming
  • Experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment
  • Experience with at least one main stream deep learning frameworks, including TensorFlow, PyTorch, Caffe(2), MXNet
  • Experience with computer vision or robotics libraries (e.g., OpenCV, PCL, ROS)
  • Experience with CUDA/OpenCL, OpenGL a plus

Bemærk: Når du ansøger specialeopslag, er der særlige krav, der skal opfyldes, for at du kan inkludere det som en del af dit uddannelsesforløb. For nærmere information omkring godkendelseskriterierne, kontakt venligst din studievejleder ud fra følgende oversigt. Studie- og Karrierevejledning

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