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ML Engineer, Product

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ML Engineer, Product in USA new

  • 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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