ML Engineer, Product
San Francisco$180k - $300kFull-timePosted 2w ago
About the role
ML Engineers at Mach9 build perception models for an AI-enabled CAD system, focusing on extracting 3D object and line features from LiDAR point clouds and imagery. The role is product-focused, partnering with customers to develop CV/ML pipelines end-to-end from data strategy to model training and evaluation.
Responsibilities
- Ship new extraction features end to end: scoping with product and customer-facing teams, data and labeling strategy, model selection or fine-tuning, evaluation, and integration into Digital Surveyor.
- Build on existing model families and open-source tooling first (vision foundation models, VLMs, point-cloud backbones, classical geometry), and know what's out there and what each is good for.
- Adapt our production models to new object classes, regions, and sensor types as customers bring them.
- Build evaluation pipelines that measure improvements and regression alike.
- Iterate on feature extraction pipelines according to customer feedback and metrics changes.
Qualifications
- BS or MS in Computer Science, EE, Robotics, or a related field, or equivalent experience.
- Strong coding abilities (preferably Python + Pytorch), and comfortable working with a large codebase.
- Hands-on experience training or fine-tuning a vision model (segmentation, detection, or 3D) through work, internships, or projects.
- Working knowledge of geometry for 3D perception: coordinate systems, transforms, projecting between images and point clouds.
- Curiosity and speed: you pick up new frameworks and papers quickly and can explain what you learned to teammates.
- Clear communicator with engineers, product, and the surveyors who use what you build.
- Fluent with AI coding assistants.
Skills
Required:PythonPyTorchVision models (segmentation, detection, or 3D)
Last updated Oct 8, 2026. Interested? Apply on the company site.
About Mach9
The Fastest Tool for Automating Geospatial Production
Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform geospatial data into actionable insights for urban development and infrastructure management. Our cutting-edge technology automates the detection and analysis of key urban features, aiding in the planning and maintenance of transportation networks.
machine-learningcomputer-visioninfrastructureai
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