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Mach9

Automates LiDAR scans into 2D/3D models

Head of Machine Learning

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$275k - $400k /yrIn-person

About the Job

Requirements

  • Experience leading and growing teams, including hiring and mentoring machine learning engineers and researchers.
  • At least 5 years of work experience in machine learning, with a track record of shipping machine learning models or systems to production.
  • Strong technical depth in machine learning and computer vision, and the ability to set technical direction and earn the trust of a strong technical team.
  • Ability to develop technical roadmaps and execute on them.
  • Strong communication skills and the ability to operate across research and engineering.
  • Proficiency with Python and PyTorch, and comfort engaging deeply with the technical work.

Responsibilities

  • Define and drive a coherent vision for leveraging Mach9's data advantage to build automation products across surveying and design.
  • Translate the vision into a technical roadmap, execute it, and advance products by identifying challenges to solve and models ready to ship.
  • Build and grow the machine learning team by hiring, onboarding, structuring the team as it scales, and shaping the balance between research and engineering as the organization matures.
  • Mentor machine learning engineers and researchers by providing technical direction, career growth, and guidance to raise the level of the team.
  • Remain technically hands-on by reviewing designs and code and contributing to architecture and modeling decisions.
  • Partner with product and engineering leadership to align research investment with product strategy and customer needs.

Desired Qualifications

  • Background in machine learning for 3D perception, such as point cloud understanding, 3D detection or segmentation, or geometric deep learning.
  • Experience with CAD AI, design automation, or applying machine learning to generate structured or geometric output rather than only classification or detection.
  • Experience scaling a machine learning organization through a growth phase, including defining team structure and hiring strategy.
  • Background in domains with data similar to Mach9's, such as remote sensing, geomatics, autonomous driving, or robotics.
  • Experience leveraging large unstructured datasets, especially reality-capture datasets, to build data-driven products and flywheels.

About the Company

Mach9

Automates LiDAR scans into 2D/3D models

Mach9 provides geospatial software that converts large-scale mobile LiDAR scans into 2D and 3D engineering models. It operates as a software-as-a-service where clients upload project data and Mach9’s AI-powered processing converts image and point cloud data into actionable maps and models. The product differentiates itself from competitors by delivering faster processing (up to 30 times faster) and lower costs (about half the traditional manual methods) through automated AI workflows on scalable cloud processing. The company’s goal is to help surveying, engineering, and construction firms generate accurate, ready-to-use models efficiently so they can focus on core tasks and project delivery.

Company size
11-50
Company stage
Seed
Total funding
$14.4M
Headquarters
Pittsburgh, PA
Founded
2021

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