ML Engineer, Product

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ML Engineer, Product in USA new

Mach9
Full time
Email

USA
10/02/2026
Report

San Francisco, CA

Responsibilities

Ship extraction features end to end, from product and customer scoping through data strategy, model training, evaluation, and integration into Digital Surveyor.
Build on vision foundation models, VLMs, point-cloud backbones, classical geometry, and open-source tooling.
Adapt production models to new object classes, regions, and sensor types.
Build evaluation pipelines that measure both improvements and regressions.
Iterate on feature-extraction pipelines using customer feedback and changing metrics.
Work closely with product, customer-facing teams, engineers, surveyors, and customers.

Requirements

BS or MS in Computer Science, EE, Robotics, or a related field, or equivalent experience.
Strong coding ability, preferably in Python and PyTorch, with comfort working in a large codebase.
Hands-on experience training or fine-tuning vision models for segmentation, detection, or 3D tasks through work, internships, or projects.
Working knowledge of 3D-perception geometry, including coordinate systems, transforms, and projection between images and point clouds.
Ability to learn new frameworks and papers quickly and communicate findings clearly.
Clear communication skills with engineers, product teams, and surveyors.
Fluency with AI coding assistants.
Preferred experience with SAM-family models, DINO, Grounding DINO, point clouds, LiDAR, Open3D, PDAL, PyTorch3D, sparse convolution libraries, ONNX, TensorRT, or production model deployment on cloud GPUs.

Salary: $180k - $300k/yr

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 stripin...

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