---
title: 'ML Engineer, Product at Mach9'
canonical: 'https://feeny.ai/job/ml-engineer-product-mach9-san-francisco-m46vawenmmr8'
type: 'job'
last_seen: '2026-10-18'
---

# ML Engineer, Product at Mach9

- **Company:** Mach9
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/mach9/622a014b-ff77-45bd-9caa-61a6506884ed

## Job description

## The role

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery. Our unique data advantage allows us to develop and train cutting edge 3D scene understanding models that serve real surveyors and engineers in the field. This role is product-focused. You will be working closely with customers to develop CV/ML pipelines and workflows that solves their problems. Your responsibility is to ship new features and product lines end-to-end from data strategy, to model training, to evaluation. This role is ideal for early-career engineers (new grad to ~3 years) who learn fast, are curious about how things work, and get real satisfaction from shipping. You need to be able to come up with ideas, try them, get feedback and iterate quickly.

## Responsibilities

- Ship new extraction features end to end: scoping with product and customer-facing teams, data and labeling strategy, model selection or fine-tuning, evaluation, and integration into Digital Surveyor.
- Build on existing model families and open-source tooling first (vision foundation models, VLMs, point-cloud backbones, classical geometry), and know what's out there and what each is good for.
- Adapt our production models to new object classes, regions, and sensor types as customers bring them.
- Build evaluation pipelines that measure improvements and regression alike.
- Iterate on feature extraction pipelines according to customer feedback and metrics changes.

## Requirements

- BS or MS in Computer Science, EE, Robotics, or a related field, or equivalent experience.
- Strong coding abilities (preferably Python + Pytorch), and comfortable working with a large codebase.
- Hands-on experience training or fine-tuning a vision model (segmentation, detection, or 3D) through work, internships, or projects.
- Working knowledge of geometry for 3D perception: coordinate systems, transforms, projecting between images and point clouds.
- Curiosity and speed: you pick up new frameworks and papers quickly and can explain what you learned to teammates.
- Clear communicator with engineers, product, and the surveyors who use what you build.
- Fluent with AI coding assistants.

Bonus qualifications

- Have used open-source vision foundation models (SAM family, DINO, Grounding DINO, or similar) in a task before.
- Experience with point clouds or LiDAR data (Open3D, PDAL, PyTorch3D, sparse convolution libraries).
- Experience deploying models to production: ONNX or TensorRT, batch inference on cloud GPUs.

## About Mach9

## Company Overview
- **One-liner**: Mach9 builds AI-native CAD software that automatically transforms LiDAR point clouds into engineering-grade 3D maps, accelerating infrastructure design and surveying workflows.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2021
- **Founders**: Alexander Baikovitz (CEO), Zachary Sussman (CTO), Haowen Shi, Michael M. – four researchers from Carnegie Mellon University's Robotics Institute.

## Core Business
- **Primary industries**: Civil infrastructure, surveying & geospatial services, transportation, telecom, utilities, architecture/engineering/construction (AEC).
- **Target customers**: B2B. Enterprise clients include top engineering firms (Langan, Olsson, Woolpert, HDR, Michael Baker International), major state Departments of Transportation (DOTs), and utility companies.
- **Mission/purpose**: "Accelerate how teams model and understand the world" – providing the fastest, most accurate automated feature-extraction technology for infrastructure projects.

## Products & Services
- **Digital Surveyor (DS2)**: AI-native, web-based CAD platform for automated feature extraction from LiDAR point clouds. Offers AI-assisted extraction (curbs, pavement edges, guardrails, utility poles), manual tools, and direct export to AutoCAD, MicroStation, and ESRI. Data-agnostic ingest pipeline supports scanners from RIEGL, Trimble, Leica, NavVis. Type: SaaS.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Total Funding – **USD $14,425,000** (as of early 2026).
- **Notable Investors/Partners**: Y Combinator (Summer 2021 batch), Quiet Capital (led $12M Seed round, Nov 2024), Tiger Global Management (led $2.3M Seed round, Dec 2021), and top executives from Cruise, Autodesk, Adobe, and DoorDash as advisors/investors.
- **Growth Signals**: Headcount of 30 employees (LinkedIn, Apr 2026) with +32.1% yearly growth; monthly job posting growth +66.7% year-over-year; trusted by leading engineering firms and state DOTs; launched Digital Surveyor 2 in March 2026; featured in Geo Week News and YC blog.

## Competitive Advantages
- **AI-native CAD workflow**: Unlike traditional manual drafting, DS2's AI "drafts with you" – learning from user edits to improve suggestions in real time, cutting manual drafting time by up to 96×.
- **Field-to-finish in one environment**: No need to switch between preprocessing, extraction, and CAD tools – all done in a single web-based platform.
- **Strong research roots**: Built on decades of research from Carnegie Mellon University's Robotics Institute, giving a deep technical moat in computer vision and geospatial ML.
- **Designed for surveyors**: Intuitive UI that lets domain experts (not just CAD specialists) be productive on day one.

## Strategic Focus
- **Scale GTM and engineering**: Active hiring across sales (Account Executive, Founding Marketer), engineering (ML Infrastructure Engineer, Perception Software Engineer, Head of Product Engineering), and operations (Solutions Consultant, QA Survey Technician).
- **Expand into new verticals**: Targeting electric/telecom utilities, data centers, and broader infrastructure beyond transportation.
- **Product evolution**: Continuously improving AI accuracy and automation, with a focus on trust and user control (as highlighted in the DS2 launch).

## Why Work Here
- **Culture**: Fast-paced, customer-obsessed, engineering-first environment. Values: "work fast, iterate with customer feedback, never compromise on excellence."
- **Remote/Hybrid Policy**: HQ in San Francisco; some roles are "Remote / Remote (US)" per YC job listings. Likely hybrid with in-office presence for SF-based roles.
- **Perks & Benefits**: Health, vision, dental insurance; paid parental leave; flexible time off; equity package for all full-time employees; company 401(k); relocation assistance; catered lunches & paid dinner; company & team events; dog-friendly office.
- **Engineering culture**: Deep technical challenges at the intersection of AI, geospatial, computer graphics, and infrastructure. Opportunity to work on hard problems that "unlock billions in value for customers."

## Sources
1. [mach9.ai/careers](https://mach9.ai/careers)
2. [mach9.ai](https://www.mach9.ai/)
3. [mach9.ai/about](https://www.mach9.ai/about)
4. [ycombinator.com/companies/mach9](https://www.ycombinator.com/companies/mach9)
5. [linkedin.com/company/mach9geo](https://www.linkedin.com/company/mach9geo)

## Other roles at Mach9

- [Business Development Representative](https://feeny.ai/job/business-development-representative-mach9-san-francisco-xkk9z3hxha2t) — San Francisco, CA
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- [Head of Sales](https://feeny.ai/job/head-of-sales-mach9-san-francisco-5nqtbqf74qa5) — San Francisco, CA
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- [Business Operations Associate](https://feeny.ai/job/business-operations-associate-mach9-san-francisco-bnpq69twf9ae) — San Francisco, CA
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