Perception Intern

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    Mach9

    Make maps fast

    11-50 employeesFounded 2021San Francisco, CATechnology, Information and Internet
    Actively hiringPaidFall 2026Technology, Information and Internet
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    Best applied by Oct 11

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    About the role#

    As a Perception Intern at Mach9, you will work on projects critical to the development and enhancement of our core products. You will build advanced 2D image and 3D point cloud models for object and panoptic detection, focusing on urban features like traffic lights, utility poles, curbs, and painted road markings.

    What you'll do#

    • Develop an initial prototype to detect paint lines and curbs on roadways.
    • Bring perception models and algorithms into a real-time detection domain by balancing accuracy and speed for edge mapping hardware.
    • Assist in the development and tuning of machine learning models to improve performance and accuracy.

    What you'll need#

    • Current pursuit of a degree in Machine Learning, Computer Science, or a related field.
    • Strong programming fundamentals in Python with a focus on algorithmic problem-solving and clean code design.
    • Hands-on experience with machine learning frameworks like PyTorch or Jax.
    • Ability to implement and iterate on heuristic or geometry-based algorithms quickly.
    • Familiarity with computer vision tasks.
    • A collaborative mindset and the capacity to work independently on complex tasks.

    Location & details#

    • Location: San Francisco, California, USA.
    • Term: Fall 2026.
    • Work modality: On-site.
    • Employment: Full-time paid internship.
    Relevant fieldsComputer Science

    About Mach9

    Mach9 is a technology company based in San Francisco that develops software for processing reality capture data. Founded in 2021, the firm creates high-precision 3D maps from LiDAR and imagery datasets. Its software, Digital Surveyor, assists engineering and surveying teams by automating the extraction of infrastructure features. The company currently employs 35 people.

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