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Mach9 Robotics Jobs (NOW HIRING)

Head of ML

San Francisco, CA · On-site

$250K - $450K/yr

Background in domains that work with similar data to Mach9 - remote sensing, geomatics, autonomous driving, or robotics. * Experience leveraging large unstructured datasets, especially reality ...

Account Executive

San Francisco, CA · On-site

$200K - $250K/yr

About Mach9 Mach9 is pioneering the next era of the surveying and geospatial industry. Our AI-driven platform opens up a world of possibilities for the millions of surveyors and civil engineers ...

QA Survey Technician

San Francisco, CA · On-site

$80K - $100K/yr

At Mach9, QA Survey Technicians are the domain experts who ensure our platform works the way real surveyors and engineers expect it to. You'll work directly with product and engineering to validate ...

$180 - $280/hr

At Mach9, we're hiring our first Head of Growth to build and scale our marketing engine. By taking new products to market and generating qualified pipeline, you'll play a direct role in driving ...

Solutions Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Run onboarding / kickoff and get a new customer set up on the Mach9 platform. * Review active projects, unblock issues, and align next steps with project managers. * Create a presentation showing ...

Head of Growth

San Francisco, CA · On-site

$180 - $280/hr

At Mach9, we're hiring our first Head of Growth to build and scale our marketing engine. By taking new products to market and generating qualified pipeline, you'll play a direct role in driving ...

Head of Growth

San Francisco, CA · On-site

$180K - $220K/yr

At Mach9, we're hiring our first Head of Growth to build and scale our marketing engine. By taking new products to market and generating qualified pipeline, you'll play a direct role in driving ...

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

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.

Mach9 Robotics information

What is the difference between Mach9 Robotics vs Automation Engineer?

AspectMach9 RoboticsAutomation Engineer
Required CredentialsTypically a degree in robotics, mechanical, or electrical engineering; certifications in PLC, robotics, or automation systemsDegree in engineering, automation, or related field; certifications in PLC, SCADA, or automation tools
Work EnvironmentIndustrial settings, manufacturing plants, robotics labsFactories, production lines, industrial facilities
Industry UsagePrimarily in robotics companies, automation firms, manufacturingManufacturing, process industries, automation projects
Common Search/ComparisonYesYes

Mach9 Robotics focuses on designing and implementing robotic systems, often involving hardware and software integration. Automation Engineers work on automating manufacturing processes, including control systems and process optimization. While both roles require engineering credentials and work in industrial environments, Mach9 Robotics emphasizes robotics hardware and software, whereas Automation Engineers focus on process automation and control systems.

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Infographic showing various Mach9 Robotics job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Head of ML

San Francisco, CA • On-site

Mach9 Robotics Inc
1 - 10 employees

$250K - $450K/yr

Full-time

Re-posted 25 days ago


Job description

The Role
At Mach9, we're building AI to turn dense LiDAR and image data into design-grade CAD deliverables for civil engineering and surveying. We have one of the richest survey-grade datasets in the world. Our product, Digital Surveyor, automates work that takes surveyors and engineers weeks of manual effort.
We're looking for a Head of Machine Learning to build and grow the organization that turns our data into the automated products of the future in surveying and design. This is a hands-on leadership role: you'll set the technical vision for our strategy, mentor and grow a team of ML engineers and researchers, and own the throughline from hard research problems to shipped product capabilities.
This role is ideal for experienced engineers, team leads, and managers who want to push the frontier of 3D computer vision and perception. You'll have the opportunity to solve problems that few other teams have the data or the talent to take on. We need you to bring a strong vision of what's possible with our unique dataset, and then to build a team around you to accomplish that vision.
Responsibilities
  • Define and drive a coherent vision for how Mach9 can leverage our data advantage to build the best automation products across surveying and design.
  • Translate your vision into a technical roadmap, execute strongly, and bring our products to the next level. You'll need to identify which challenges are worth solving, and then which models are ready to ship.
  • Build and grow our ML team: hiring, onboarding, structuring the team as it scales, and shaping the split between research and engineering as our organization matures.
  • Mentor ML engineers and researchers, providing technical direction, career growth, and guidance to raise the level of the whole team.
  • Stay technically hands-on: review designs and code and weigh in on architecture and modeling decisions, so that you stay credible and connected to the team and problems.
  • Partner with product and engineering leadership to align Mach9's investment into research with our product strategy and customer needs.

Requirements
  • Experience leading and growing teams - hiring and mentoring ML engineers and researchers.
  • 5+ years of work experience in machine learning, with a track record of shipping ML models or systems to production.
  • Strong technical depth in machine learning and computer vision, and an ability to set technical direction and to earn the trust of a strong technical team.
  • Ability to develop technical roadmaps and execute on them.
  • Strong communication skills, with the ability to operate across research and engineering.
  • Proficient with Python and PyTorch. You must be comfortable engaging deeply with our technical work.

Bonus qualifications
  • Background in machine learning for 3D perception - point cloud understanding, 3D detection/segmentation, geometric deep learning, or related areas.
  • Experience with CAD AI, design automation, or applying ML to generate structured/geometric output, rather than just classification or detection.
  • Experience scaling an ML organization through a growth phase - defining team structure and hiring strategy.
  • Background in domains that work with similar data to Mach9 - remote sensing, geomatics, autonomous driving, or robotics.
  • Experience leveraging large unstructured datasets, especially reality-capture datasets, to build data-driven products and flywheels.