Computer Vision/ Machine learning Engineer

Stride Search

  • San Francisco, California
  • 30+ days ago

    Highlights

    looking for smart, ambitious people to help develop our next generation. We believe in building great products to improve people’s lives by.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    We're the driverless car
    company. We believe in building great products to improve people’s lives by
    making transportation safer, more accessible, and more convenient. Our team is
    small, but we move quickly. In less than a year, we built prototype vehicles
    that have logged over 10,000 autonomous miles on California highways. We're
    looking for smart, ambitious people to help develop our next generation
    products, ensure they’re reliable and safe, and deploy them at scale. We're
    looking for a computer vision expert to build core technology around object
    recognition, feature detection and tracking, and machine
    learning.


    RESPONSIBILITIES


      • Design effective and
        efficient feature detection and tracking systems

      • Design, train and evaluate
        various machine learning systems for use in object detection

      • Develop new ways to use
        image features or tracking to improve the mapping and localization
        stacks




    REQUIREMENTS


      • BS, MS or PhD in CS, math,
        physics, or similar field

      • Excellent knowledge of
        linear algebra, matrix operations, and image processing techniques

      • Passionate about
        self-driving technology and its potential impact on the
        world




    BONUS POINTS


      • Experience with the CUDA
        platform

      • Expert in designing and
        building state of the art feature detectors and trackers

      • Written code for an RTOS

      • Used OpenCV and ROS

      • Experience with SfM, stereo
        processing, and/or multiview reconstruction




    PERKS


      • Solve difficult problems
        that have immediate and valuable real-world applications

      • Competitive salary and
        benefits (401k, health / dental / vision insurance)

      • Competitive equity

      • State of the art equipment
        for your work station

      • Catered lunch, snacks, etc.

      • Free rides in self-driving
        cars



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