---
title: 'ML Infrastructure Engineer at Mach9'
canonical: 'https://feeny.ai/job/ml-infrastructure-engineer-mach9-san-francisco-5fc06s72snqa'
type: 'job'
last_seen: '2026-10-18'
---

# ML Infrastructure Engineer at Mach9

- **Company:** Mach9
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/mach9/00cdc4ed-eea2-4a95-bbd6-a885d5429e38

## Job description

## The role

At Mach9, ML infrastructure engineers build and maintain the systems that power production AI models for civil engineering and surveying. Our ML pipeline spans 10,000+ miles of labeled survey data, image segmentation networks, and 3D prediction models serving real-time inference to surveyors and engineers in the field. This role is ideal for mid-career ML infrastructure engineers with experience building for both training and inference. You'll build training pipelines that handle deep transformer models on hundreds of terabytes of 3D point cloud and image data. You'll also architect our inference infrastructure, delivering both heavy offline detection algorithms and real-time responsive inference that integrates directly with our CAD software.

## Responsibilities

- Design and build a centralized system for versioning training data, generated datasets, and model artifacts, with full lineage tracking from raw source data through to trained model outputs.
- Develop and maintain reliable, reproducible ML training and data generation pipelines.
- Refactor and harden existing training and data generation scripts into composable, testable, and maintainable components.
- Create CI/CD workflows for validating data pipelines and model training runs, including automated correctness checks and regression detection.
- Build tooling that enables ML engineers to launch, monitor, and debug training jobs with minimal friction.
- Optimize and scale real-time model inference services to meet latency and throughput requirements in production, including profiling, batching strategies, and resource-efficient serving.
- Own the deployment path from trained model artifact to production endpoint, ensuring reliable rollouts, rollback, and monitoring.

## Requirements

- 3+ years of work experience in relevant fields.
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
- Strong communication skills and the ability to work closely with ML researchers and engineers to understand their workflows and translate them into robust systems.
- Experience designing and building data versioning, artifact management, or dataset lineage systems (e.g., DVC, LakeFS, Weights & Biases, or custom solutions).
- Hands-on experience with ML pipeline orchestration tools (e.g., Airflow, Prefect, Metaflow, or similar).
- Experience with model serving and inference optimization — profiling latency, reducing memory footprint, or scaling serving infrastructure to meet real-time constraints.
- Ability to read and refactor ML training code — you don't need to design model architectures, but you need to understand what training pipelines are doing well enough to make them reliable.
- Proficient with Python, PyTorch.

Bonus qualifications

- Familiarity with AWS infrastructure services.
- Experience with containerized ML workflows and GPU-accelerated training environments.
- Experience with model optimization techniques (e.g., quantization, TensorRT, ONNX Runtime, distillation).
- Knowledge of infrastructure-as-code tools (e.g., AWS CDK, Terraform).
- Experience building or operating ML systems that handle large unstructured datasets (imagery, 3D data, sensor data).

## 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
- [Perception Intern](https://feeny.ai/job/perception-intern-mach9-san-francisco-w4xn6hr557z2) — San Francisco, CA
- [ML Engineer, Product](https://feeny.ai/job/ml-engineer-product-mach9-san-francisco-m46vawenmmr8) — San Francisco, CA
- [Head of Sales](https://feeny.ai/job/head-of-sales-mach9-san-francisco-5nqtbqf74qa5) — San Francisco, CA
- [Office Manager](https://feeny.ai/job/office-manager-mach9-san-francisco-8tpyk7z003jp) — San Francisco, CA
- [Business Operations Associate](https://feeny.ai/job/business-operations-associate-mach9-san-francisco-bnpq69twf9ae) — San Francisco, CA
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