ML Engineer

Mach9 is seeking an ML Engineer to build perception models for AI-enabled CAD systems, focusing on extracting 3D features from LiDAR point clouds and imagery. This role combines research and product development, designing and training models for automated extraction pipelines. Ideal for early-to-mid-career engineers who own the full model lifecycle from prototype to production.

• Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry from dense LiDAR and imagery.
• Drive ML research that translates into product capabilities: prototyping, experiments, and identifying shippable features.
• Own models through full product lifecycle: problem framing, data strategy, training, evaluation, and integration into cloud-based CAD software.
• Develop evaluation methodology and metrics reflecting real surveying accuracy requirements.
• Collaborate with ML infrastructure and product teams.

• Master's or PhD in ML, Computer Vision, CS, or equivalent experience.
• Strong foundation in computer vision and deep learning with hands-on experience in segmentation, detection, or 3D understanding.
• Experience taking ML models from research to production.
• Working knowledge of geometric concepts (coordinate systems, 3D transforms).
• Proficient in Python and production-quality ML libraries (PyTorch, JAX, TensorFlow).