ML Engineer, 3D Vision & CAD - Research to Production

Mach9 Robotics Inc.

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Mach9 Robotics Inc. is seeking an ML Engineer to build perception models powering our AI-enabled CAD system. You will develop and train models to extract 3D geometry from dense LiDAR and imagery, moving ideas from research to production features in a cloud-based CAD solution.

This role targets early-to-mid-career engineers who own end-to-end projects and can translate research papers into shipped capabilities, collaborating with infra and product teams.

Qualifications

  • Master's or PhD in Machine Learning, Computer Vision, CS or related field, or equivalent industry experience.
  • Strong foundation in computer vision and deep learning with hands-on model training.
  • Experience taking ML models from research to production, not just papers.
  • Working knowledge of 3D perception concepts and coordinate transforms.
  • Excellent communication and collaboration skills with researchers and product teams.
  • Proficient in Python and production ML libraries (PyTorch/JAX/TF).

Responsibilities

  • Design, train, and evaluate CV and 3D ML models for CAD-grade geometry from LiDAR and imagery.
  • Drive ML research turning into product capabilities; prototype, run experiments, ship features.
  • Own models through lifecycle: data strategy, training, evaluation, integration into cloud CAD.
  • Develop evaluation metrics reflecting surveying and engineering accuracy needs.
  • Collaborate with ML infra and product teams to scale training and inference.

Skills

Machine Learning
Computer Vision
Deep Learning
Python
Experimentation
Communication

Education

Master's or PhD in ML/CS/CV

Tools

PyTorch
JAX
TensorFlow

Job description

Mach9 Robotics Inc. is seeking an ML Engineer to build perception models powering our AI-enabled CAD system. You will develop and train models to extract 3D geometry from dense LiDAR and imagery, moving ideas from research to production features in a cloud-based CAD solution.

This role targets early-to-mid-career engineers who own end-to-end projects and can translate research papers into shipped capabilities, collaborating with infra and product teams.

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