Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform raw geospatial data into actionable insights, empowering civil engineers to design, build, and maintain infrastructure worldwide. Our first product , Mach9 Digital Surveyor, helps surveyors automatically extract features from large-scale imagery and 3D datasets 96x faster than today's manual and labor-intensive drafting workflows, accelerating the development of cost-effective and sustainable transportation and utility infrastructure. Mach9 supports leading asset owners and engineering and construction organizations globally to solve the toughest engineering design, mission planning, and asset management problems.
Mach9 is backed by Quiet Capital, Y Combinator, Overmatch Ventures, Kyle Vogt (founder of Cruise), Amar Hanspal (former CEO of Autodesk), Scott Belsky (CPO of Adobe), Gokul Rajaram (former executive at DoorDash), and more.
Develop and optimize advanced machine learning and computer vision models.
Innovate and experiment with novel model architectures, aiming to enhance our 3D geospatial model's accuracy and efficiency.
Apply your expertise to improve feature detection and localization in 2D imagery and 3D point cloud data.
Work collaboratively within a team of engineers, contributing to a culture of innovation and knowledge sharing.
Mentor and guide junior team members, fostering an environment of growth and learning.
Masters or PhD in ML or Computer Vision.
Experience building and training 2D or 3D computer vision deep neural networks.
A proven track record of leading projects and mentoring junior engineers.
Proficiency in programming languages relevant to ML and CV, particularly Python and C++ (or equivalent languages), with the ability to write efficient, maintainable code.
Ability to independently manage and track progress on projects, demonstrating a high degree of self-motivation and accountability.
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