5 months ago
Responsibilities
- Design, train, and evaluate computer vision and 3D ML models for extracting geometry and features from LiDAR and imagery.
- Lead ML research, prototype new approaches, run experiments, and determine what is ready to ship.
- Own models across problem framing, data strategy, training, evaluation, and integration into Digital Surveyor.
- Develop evaluation methodologies and metrics reflecting surveying and engineering accuracy requirements.
- Collaborate with ML infrastructure engineers to scale model training and inference.
- Partner with product teams to align model behavior with user needs and deliver production capabilities.
Requirements
- Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or equivalent industry experience.
- Strong computer vision and deep learning foundation with hands-on experience training segmentation, detection, or 3D understanding models.
- Experience taking ML models from research or prototypes into production.
- Working knowledge of coordinate systems and 3D transforms.
- Proficiency in Python and a production-quality ML library such as PyTorch, JAX, or TensorFlow.
- Strong communication and collaboration skills with researchers, engineers, and product stakeholders.
- Bonus: experience with 3D deep learning architectures, point cloud backbones such as PTv3, sparse convolutions, or 3D detection and segmentation networks.
- Bonus: experience with large-scale imagery and 3D point cloud datasets.
- Bonus: experience with quantization, pruning, distillation, TensorRT, or ONNX Runtime for production model optimization.
- Bonus: familiarity with multi-GPU training and experiment management tools such as Weights & Biases.
- Bonus: publications or strong open-source contributions in computer vision or 3D machine learning.
Categories
About Mach9
Mach9 develops AI-powered geospatial software that converts reality-capture datasets (LiDAR and imagery) into high-precision 3D maps and engineering-ready CAD/GIS deliverables. Its flagship product, Digital Surveyor, automatically extracts assets such as utility poles, signage, curbs, and striping for surveying, civil engineering, and GIS teams working on infrastructure projects. Founded in 2021 and headquartered in San Francisco, the privately held company offers a browser-based 3D CAD platform used to speed project delivery.