ML Engineer, 3D Perception: Research to Production

Quiet Capital; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Mach9 seeks an ML Engineer to build perception models for their AI-enabled CAD system. You will develop 3D and 2D detection from LiDAR and imagery, moving from research prototypes to production features with cloud integration in Digital Surveyor.

The role blends research with product delivery, requiring ownership from architecture papers to shipped capabilities and collaboration with infrastructure and product teams.

Qualifications

• Strong foundation in computer vision and deep learning.
• Experience taking an ML model from research to production.
• Proficient with Python and ML libraries (PyTorch/JAX/TF).
• Strong communication and collaboration skills.

Responsibilities

• Design, train, and evaluate CV and 3D ML models for CAD-grade geometry and features from LiDAR and imagery.
• Drive ML research translating into product capabilities: prototyping, experiments, shipable features.
• Own models through full lifecycle: data strategy, training, evaluation, and integration into cloud CAD software Digital Surveyor.
• Develop evaluation metrics reflecting surveying and engineering accuracy requirements.
• Collaborate with ML infra engineers and product teams to scale training/inference and align with user needs.

Skills

Computer vision

Deep learning

Python

Model production

Communication

Education

Master's or PhD in ML/CS/related field

Tools

PyTorch

JAX

TensorFlow

Job description

Mach9 seeks an ML Engineer to build perception models for their AI-enabled CAD system. You will develop 3D and 2D detection from LiDAR and imagery, moving from research prototypes to production features with cloud integration in Digital Surveyor.

The role blends research with product delivery, requiring ownership from architecture papers to shipped capabilities and collaboration with infrastructure and product teams.