Teams at Mach9

Generate outbound and expansion pipeline through personalized calling, email, LinkedIn, and event outreach. Qualify inbound leads, conduct discovery conversations, maintain CRM records, and deliver clean AE handoffs. Develop outbound messaging and playbooks, report on conversion performance, provide market and product feedback, and consistently meet qualified-meeting and pipeline quotas. The role requires communicating Mach9’s geospatial AI software credibly to surveyors, civil engineers, infrastructure owners, and executives.

Develop and tune computer vision and machine learning models for 2D imagery and 3D point clouds. Projects focus on detecting urban and roadway features, including traffic lights, utility poles, curbs, and road markings. The intern will implement geometry-based algorithms, optimize perception models for real-time edge hardware, and apply machine learning to geospatial infrastructure problems while collaborating with experienced engineers.

Build and maintain production ML infrastructure for training and inference across large-scale 3D point cloud and image datasets. Responsibilities include data and model artifact versioning, reproducible pipeline development, CI/CD validation, training job tooling, inference optimization, and reliable model deployment. The role requires Python and PyTorch expertise, ML orchestration experience, model serving knowledge, and the ability to refactor training code. AWS, containerized GPU workflows, optimization techniques, and infrastructure-as-code experience are advantageous.