Machine Learning Engineer – Data Infrastructure, Autopilot AI

Tesla
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Job Description

The Role You will be part of a team of developers and deep learning experts working to design, implement, maintain, and operate systems for dataset generation, data exploration/visualization, neural network evaluation, and other supporting applications necessary to advance the state of the art in perception for autonomous driving.

What You’ll Do

  • Design and implement large-scale data processing pipelines that handle petabytes of autonomous vehicle data including images, videos, depth arrays, human labels, etc.
  • Develop and maintain metrics, evaluation tools, visualization tools, and dashboards to aid in the development of neural networks.
  • Support the training of neural networks by performing tasks such as optimizing code & data formats for faster dataloading, finding & root-causing poor label quality, orchestrating training jobs, etc.

What You’ll Bring

  • Strong experience with Python and software engineering best practices.
  • Experience with data manipulation tools including jupyter notebooks, SQL databases, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, and parallelism via Python multiprocessing.
  • (bonus) Experience with PyTorch, or another major deep learning framework such as TensorFlow.

Company Info.

Tesla

Tesla, Inc., headquartered in Austin, Texas, is an American multinational corporation specializing in electric vehicle design and manufacturing, as well as the production of stationary battery energy storage solutions spanning from residential to grid-scale applications. Additionally, Tesla offers a range of solar panels, solar shingles, and complementary products and services within the clean energy sector.

  • Industry
    Automotive,Energy,Autonomous technology
  • No. of Employees
    127,000
  • Location
    13101 Tesla Road, Austin, TX, USA
  • Website
  • Jobs Posted

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