Software Engineer - Machine Learning Infrastructure

DiDi Labs
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Job Description

Experience:

  • 2 years of experience in Computer vision, robotics, machine learning, artificial intelligence, or related.

Job duties:

  • Develop algorithms and pipelines for company projects in intelligent driving technologies. Apply state of the art AI algorithms on cars to make driving smarter and safer.
  • Responsible for developing state of the art tools and platforms for supporting machine learning model development in intelligent driving, so that the machine learning models and algorithms to be deployed to real vehicles can be developed with high efficiency and rigorous verification.
  • Develop and deploy machine learning tools and platforms, including data curation and annotation, machine learning workflow platform and evaluation system, to support machine learning model development in smart driving scenarios.
  • Survey and research for state of the art algorithms and publications in the computer vision, machine learning, and robotics sectors.
  • Contribute to company’s intellectual property through patents.

Company Info.

DiDi Labs

Didi autonomous driving is innovating the way we build our self-driving cars. We leverage our ride-sharing network to collect large amounts of data, and improve our algorithms with the data. In this role, you will design, train and deploy ML models. It covers different algorithms across the whole stack. If you are interested in solving exciting and challenging problems, and are enthusiastic about autonomous driving.

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DiDi Labs is currently hiring Software Machine Learning Engineer Jobs in Mountain View, CA, USA with average base salary of $160,000 - $185,000 / Year.

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