Perception Intern

Mach9
San Francisco, CA
On-siteCareer-pivot friendly

Who this role is best for

Strong fit for candidates with hands-on ML experience who can implement computer vision models in urban infrastructure contexts.

Best fit for

  • Students or early-career professionals with ML experience and a focus on computer vision for geospatial applications
    — “hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks”
  • Individuals who can quickly prototype and optimize algorithms for real-time edge systems
    — “Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed”

Things to consider

  • The role may demand rapid iteration on both heuristic and ML-based solutions
    — “Ability to implement and iterate on heuristic or geometry-based algorithms quickly”
  • Geospatial context is central, so domain knowledge in this area is important
    — “applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis”

How to stand out

  • Highlight prior experience with real-time algorithm optimization and edge computing in your resume
    — “Bring our perception models and algorithms into a real-time detection domain”
  • Showcase projects involving urban or roadway feature detection using computer vision
    — “working on urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings”
  • Emphasize your ability to write clean, efficient code in Python for ML tasks
    — “Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed prototypes
  • enhanced model performance
Typical background
machine learningcomputer science

Skills & requirements

Required

Machine LearningComputer VisionAlgorithmic Problem-solvingPython

Preferred

Geospatial Data Analysis

Stack & domain

PythonPyTorchJaxProblem-solvingCollaborationMachine LearningComputer Vision

About the role

Original posting from Mach9 via Ashby

ABOUT THE ROLE

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

EXAMPLE PAST AND FUTURE PROJECTS:

  • Develop an initial prototype to detect paint lines and curbs on roadways. (This project ended up developing into one of our new products).
  • Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.
  • Assist in the development and tuning of machine learning models to enhance performance and accuracy.

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.

WHY MACH9?

This internship presents a unique opportunity to contribute to impactful projects at the intersection of machine learning and geospatial technology. You will work alongside industry experts, gain valuable practical experience, and help shape the future of urban infrastructure management.

Source: Mach9 careers (Ashby)

Similar roles