Tesla | Machine Learning Intern, Autopilot AI (Winter 2023) | Palo Alto, CA | United States | BigDataKB.com | 23 Oct 2022

Job Location: Palo Alto, CA

What to Expect As an Autopilot Intern, you will be part of a team of developers and deep learning experts working to design, optimize, quantize, and deploy neural networks that advance the state of the art in perception for autonomous driving. What Youโ€™ll Do Quantize, distill, prune, and perform architecture search on our core in-vehicle neural networks to reduce inference latency and minimize accuracy loss on our int8 NN accelerator chip.

  • Develop and maintain tools to serialize, visualize, quantize, optimize, and estimate the inference latency of neural networks.
  • Participate in the complete neural network life cycle: design a new neural architecture, optimize it for inference on our NN accelerator, perform quantization aware training, deploy it to a development build, work with peer engineering teams to integrate it into our planning and controls stack, and validate its safety with our QA team.
  • Stay abreast of advances in machine learning, particularly in the areas of quantization, distillation, pruning, latency-efficient neural architectures, and architecture search.

What Youโ€™ll Bring Strong experience with Python, C++, and software engineering best practices.

  • Experience quantizing and optimizing the inference latency of neural networks.
  • Experience with PyTorch, or another major deep learning framework such as TensorFlow.
  • Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python and Bash scripting, Linux environment.




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