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ML Engineer, Product

mach9San FranciscoEngineering
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Salary
$180K – $300K
Job type
Full-time
Experience
Entry
Posted
1 Oct 2026
Status
Open · checked 7d ago

About this role

This position suits early-career engineers with zero to three years of experience who learn quickly, enjoy iterating fast, and want to build perception models for a computer-aided design platform located in San Francisco. The ML Engineer, Product role at Mach9 involves developing computer vision and machine learning pipelines to extract features from LiDAR and imagery directly with customer collaboration.

Role Overview

Mach9 seeks an ML Engineer, Product for a full-time position based in San Francisco. The person in this role focuses on creating perception models that power an artificial intelligence-enabled computer-aided design system for engineers and surveyors. Responsibilities span the complete product lifecycle from data strategy through model evaluation and feature shipping.

Key Responsibilities

Deliver end-to-end extraction features through scope definition, data strategy, model selection, evaluation, and integration into Digital Surveyor.
Utilize existing model families, open-source tooling, vision foundation models, vision-language models, point-cloud backbones, and classical geometry.
Update production models for new object classes, geographic regions, and sensor types based on customer needs.
Construct evaluation pipelines to track performance improvements and regressions.
Refine feature extraction pipelines using customer feedback and metric adjustments.

Requirements

Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, Robotics, or a related discipline, or equivalent practical experience.
Proficiency in programming, specifically with Python and PyTorch, along with large codebase experience.
Practical background in training or fine-tuning vision models for tasks like segmentation, detection, or 3D through employment, internships, or projects.
Understanding of 3D perception geometry, including coordinate systems, transformations, and projections between images and point clouds.
Ability to learn new frameworks and research papers rapidly and communicate findings to colleagues.
Communication skills for collaborating with engineers, product teams, and field surveyors.
Familiarity with artificial intelligence coding assistants.

Nice to Have

Prior utilization of open-source vision foundation models such as the Segment Anything Model family, DINO, or Grounding DINO.
Background handling point clouds or LiDAR data using tools like Open3D, PDAL, PyTorch3D, or sparse convolution libraries.
Production deployment experience involving ONNX, TensorRT, or batch inference on cloud graphics processing units.

Skills and Tools

Python
PyTorch
LiDAR
Computer Vision
3D Perception
Open3D
PDAL
PyTorch3D
ONNX
TensorRT

Salary and Benefits

Salary range of $180,000 to $300,000
Equity offerings included

About the Company

Mach9 develops an artificial intelligence-enabled computer-aided design system utilized by real surveyors and engineers in the field. The organization builds perception models to extract three-dimensional objects and line features from dense LiDAR point clouds and imagery.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonPyTorchOpen3DPDALPyTorch3DONNXTensorRTFine-tuning

Questions candidates ask

What is the location of the ML Engineer, Product role?

The position is based in San Francisco.

What experience level is Mach9 looking for?

The role is ideal for early-career engineers ranging from new graduates to approximately three years of experience.

What is the compensation for this position?

The salary ranges from $180,000 to $300,000 with equity offerings.

What educational background is required?

A BS or MS in Computer Science, EE, Robotics, or a related field, or equivalent experience is required.

What core programming languages and frameworks are used?

Strong coding abilities preferably in Python and PyTorch are required.

Ready to apply?

The application is on the official mach9 careers page.

Apply on company site