ML Engineer, Product

What you'll do

• Develop extraction features end to end, from customer and product scoping through data strategy, model training, evaluation, and integration into Digital Surveyor.
• Adapt production models to new object classes, regions, and sensor types; build evaluation pipelines and iterate based on customer feedback and metrics.
• Use and build on existing model families and open-source tools for vision, point clouds, and geometry.

What they ask for

• BS or MS in Computer Science, EE, Robotics, or a related field, or equivalent experience.
• Strong coding abilities; preferably Python and Pytorch, and comfort working with a large codebase.
• Hands-on experience training or fine-tuning a vision model through work, internships, or projects.
• Working knowledge of 3D perception geometry, including coordinate systems, transforms, and projecting between images and point clouds.

Nice to have

• Prior use of open-source vision foundation models, such as the SAM family, DINO, or Grounding DINO.
• Experience with point clouds or LiDAR, or deploying models to production using ONNX, TensorRT, or batch inference on cloud GPUs.

Pay

$180K – $300K (base salary)

Tools

Python, Pytorch, Digital Surveyor, SAM family, DINO, Grounding DINO, Open3D, PDAL

AI focus

Develop and adapt computer-vision and machine-learning models to extract 3D objects and line features from dense LiDAR point clouds and imagery; train, fine-tune, evaluate, and integrate models into product workflows.