Mach9

1 month ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry from LiDAR and imagery, delivering end-to-end production features for a cloud-based CAD system. Lead research-to-production workflows, collaborate with infrastructure and product teams, and own models through problem framing, data strategy, training, evaluation, and deployment to users in the field.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery.
•Drive ML research that translates directly into product capabilities: prototyping new approaches, running experiments, and identifying what’s shippable.
•Own models through the full product lifecycle: problem framing, data strategy, training, evaluation, and final integration into our cloud-based CAD software, Digital Surveyor.
•Develop evaluation methodology and metrics that reflect real surveying and engineering accuracy requirements.
•Work with ML infrastructure engineers to scale training and inference of your models and with product teams to align your model’s behavior with what the user wants.

Key Requirements

•Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or equivalent industry experience.
•Strong foundation in computer vision and deep learning, with hands-on experience training models for segmentation, detection, or 3D understanding.
•Experience taking an ML model from research/prototype to production, not just publishing or benchmarking.
•Working knowledge of geometric concepts relevant to 3D perception like coordinate systems and 3D transforms.
•Strong communication skills and the ability to collaborate with researchers, other engineers and product stakeholders.

Experience:Machine learningComputer vision3DLiDAR

Education:Master's

Skills:PythonPyTorchJAXTensorFlow

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Mach9

Builds AI-powered geospatial production software (Digital Surveyor) that converts LiDAR and imagery into engineering-ready 2D/3D maps and extracts features for surveying, transportation, and infrastructure teams.

Industry: Civil Engineering

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2021

Glassdoor: 5.0

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Mach9

1 month ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery.
•Drive ML research that translates directly into product capabilities: prototyping new approaches, running experiments, and identifying what’s shippable.
•Own models through the full product lifecycle: problem framing, data strategy, training, evaluation, and final integration into our cloud-based CAD software, Digital Surveyor.
•Develop evaluation methodology and metrics that reflect real surveying and engineering accuracy requirements.
•Work with ML infrastructure engineers to scale training and inference of your models and with product teams to align your model’s behavior with what the user wants.

Key Requirements

•Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or equivalent industry experience.
•Strong foundation in computer vision and deep learning, with hands-on experience training models for segmentation, detection, or 3D understanding.
•Experience taking an ML model from research/prototype to production, not just publishing or benchmarking.
•Working knowledge of geometric concepts relevant to 3D perception like coordinate systems and 3D transforms.
•Strong communication skills and the ability to collaborate with researchers, other engineers and product stakeholders.

Experience:Machine learningComputer vision3DLiDAR

Education:Master's

Skills:PythonPyTorchJAXTensorFlow

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Mach9

Industry: Civil Engineering

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2021

Glassdoor: 5.0

Website LinkedIn Glassdoor