Jobs at Mach9

The ML Infrastructure Engineer at Mach9 will design and maintain CI/CD pipelines for ML workflows, optimize real-time inference services, and build data management systems, collaborating closely with ML researchers.

Manage post-sale relationships for a customer portfolio: lead onboarding, run projects, triage support with Engineering, drive time-to-value and account growth, and surface customer feedback to product and sales teams.

The Solutions Consultant at Mach9 will leverage geospatial expertise to assist clients in adopting and integrating Mach9 software into their workflows, enhancing efficiency in 3D mapping and data delivery. Responsibilities include conducting technical demonstrations, onboarding customers, and serving as a trusted advisor to ensure effective use of the software.

Build and maintain pixel-accurate, data-dense React UIs and a shared component library. Own drive/project UX, onboarding, team-management, ingest flows, notifications, and collaboration surfaces while partnering with design and product to scale quality and performance.

Build and maintain scalable pipelines to ingest, standardize, store, and serve large geospatial datasets (point clouds, imagery) for ML and product use. Implement CI/CD, automated checks, performance optimizations, agentic harnesses for dataset triage/patching, and collaborate with ML, product, and customers to integrate and troubleshoot data.

The Head of ML will define the technical vision, mentor a team of ML engineers, and lead the production of automation products using survey data.

As an ML Engineer at Mach9, you will design and train computer vision and 3D ML models for extracting features from LiDAR and imagery, owning models through the full product lifecycle and collaborating with teams for deployment.

Responsible for driving sales and revenue generation with blue-chip customers in surveying. Develops account growth plans and utilizes consultative selling techniques.

As a Perception Intern, you will work on projects involving 2D image and 3D point cloud models for object detection, focusing on urban features. You will assist in developing machine learning models and algorithms for real-time detection applications.