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Perception Intern for Summer 2026 at mach9 | San Francisco

Mach9San Francisco
On-site Internship

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Experience Level

Entry Level

Qualifications

What We're Looking For:Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design. Ability to implement and iterate on heuristic or geometry-based algorithms quickly. Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks. A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis. Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks. Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

About the job

About the Role

As a Perception Intern at mach9, you will play a vital role in a variety of projects that are essential for the development and refinement of our flagship products. This internship offers you the chance to delve into advanced 2D image and 3D point cloud modeling for object and panoptic detection, with a focus on urban and roadway features such as traffic signals, utility poles, curbs, and painted road markings.

Example Projects You May Work On:

  • Develop a prototype aimed at detecting painted lines and curbs on roadways, which could evolve into one of our key products.

  • Adapt our perception models and algorithms for real-time detection, balancing accuracy and speed to operate on cutting-edge edge mapping hardware.

  • Contribute to the development and optimization of machine learning models to improve their performance and precision.

Candidate Profile:

  • Strong foundational programming skills in Python, especially in algorithmic problem-solving and clean code practices.

  • Proficient in implementing and iterating heuristic or geometry-based algorithms swiftly.

  • Hands-on experience with machine learning frameworks such as PyTorch or Jax, along with familiarity in computer vision tasks.

  • A genuine passion for applying machine learning to address real-world challenges, particularly in geospatial data analysis.

  • Exceptional problem-solving skills and a team-oriented mindset, with the ability to tackle complex tasks independently.

  • Currently enrolled in a degree program related to Machine Learning, Computer Science, or a similar field, with a solid grasp of machine learning principles and techniques.

About Mach9

At mach9, we are at the forefront of merging machine learning with advanced geospatial technologies. This internship not only allows you to contribute to meaningful projects but also enables you to work alongside seasoned industry professionals and gain invaluable hands-on experience that will shape the future of urban infrastructure management.

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