Mach9

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.

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 both research-driven and product-focused. You'll design and train the models that power our automated extraction pipeline — image and 3D detection and localization — and work end-to-end from research prototype to production feature. You'll partner closely with infrastructure and product teams to take ideas from a paper to deployed capabilities. This role is ideal for early-to-mid-career ML engineers who thrive on end-to-end ownership and are able to move fluidly from dissecting a new architecture paper to shipping the product feature that the resulting ML model backs. 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. 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 a 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. Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow. Bonus qualifications Experience with common 3D deep learning architectures, like point cloud backbones such as PTv3, sparse convolutions, or 3D detection/segmentation networks. Experience with large unstructured datasets — imagery and 3D point clouds — at scale. Experience delivering production-grade models with optimization techniques such as quantization, pruning, distillation, or runtime acceleration (e.g., TensorRT, ONNX Runtime). Familiarity with multi-GPU training and experiment management (Weights & Biases or similar). Publications or strong open-source contributions in computer vision or 3D machine learning.

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 the role As a Perception Intern at Mach9, you will contribute to a range of projects that are critical to the development and enhancement of our core products. You will have the opportunity to work on advanced 2D image and 3D point cloud models for object and panoptic detection, focusing on urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings. Example past and future projects: Develop an initial prototype to detect paint lines and curbs on roadways. (This project ended up developing into one of our new products). Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system. Assist in the development and tuning of machine learning models to enhance performance and accuracy. What We're Looking For: Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design. Ability to implement and iterate on heuristic or geometry-based algorithms quickly. Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks. A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis. Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks. Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques. Why Mach9? This internship presents a unique opportunity to contribute to impactful projects at the intersection of machine learning and geospatial technology. You will work alongside industry experts, gain valuable practical experience, and help shape the future of urban infrastructure management.

The role: 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 feature extraction accuracy, stress-test new workflows against real-world datasets, and make sure what we ship reflects how the industry actually works. This role is ideal for someone with hands-on surveying or CAD experience who wants to shape software the whole industry will use -- and can tell us clearly when it's wrong. You'll sit at the intersection of product, engineering, and marketing -- catching what engineers miss, providing structured feedback, and helping us demonstrate our capabilities to customers in plain, credible language. Where you will make an impact: QA new features against real-world LiDAR and mobile mapping datasets Identify extraction errors, edge cases, and workflow friction before they reach customers Provide structured, specific feedback to engineering and product teams Create screen recordings and narrated walkthroughs for tutorials, marketing, and demos Build repeatable QA checklists and testing workflows Act as the in-house authority on how surveyors and engineers actually work What you bring: Hands-on experience with surveying, drafting, or CAD (AutoCAD, Civil 3D, MicroStation, or similar) Expert knowledge of feature extraction, geometry, and infrastructure workflows Sharp eye for detail -- you notice when a curb line is off or a classification is wrong Comfort explaining technical workflows Able to work onsite in San Francisco About Mach9 Mach9 is transforming civil infrastructure design with AI-powered geospatial tools. Our platform accelerates the creation of engineering deliverables from raw data, cutting manual drafting time by 96×. Trusted by global leaders in engineering and construction, we’re backed byY Combinator, Quiet Capital, and top founders and executives from Cruise, Autodesk, Adobe, and DoorDash. We believe the needs of a startup benefit from an in-person culture. The team works out of our office in SoMa, with the flexibility to work from home when needed.

About Mach9 Mach9 builds software that transforms reality capture datasets into high-precision 3D maps, accelerating how teams model and understand the world. Its flagship product, Digital Surveyor, automatically extracts features like utility poles, signs, curbs, striping and more from LiDAR and imagery datasets to create engineering-ready GIS and CAD deliverables. Surveying, engineering, and GIS teams work with Mach9 to reduce the time and cost of 3D mapping and deliver projects faster than ever before. Mach9 is backed by Quiet Capital, Y Combinator, Overmatch Ventures, Kyle Vogt (founder of Cruise), Amar Hanspal (former CEO of Autodesk), Scott Belsky (CPO of Adobe), Gokul Rajaram (former executive at DoorDash), and more. Position Overview Mach9 is expanding our Solutions Consulting team to help surveying and engineering enterprises and infrastructure owners adopt and scale with Mach9 software. We're looking for an experienced geospatial professional with deep technical expertise and a customer-first mindset. You'll become an expert in our products and a trusted advisor customers rely on to get the most out of Mach9. As a Solutions Consultant, you'll be the primary technical partner for customers across their full engagement with Mach9. Pre-sale, that means leading discovery conversations, identifying friction in customer workflows, demonstrating how Mach9 software changes production economics and delivering technical demonstrations. Post-sale, you'll own onboarding and training, help customers integrate Digital Surveyor into their production workflows, remain their primary technical resource as the product evolves, and ensure Mach9 software becomes embedded in core delivery programs. This role goes beyond product demos. You will help customers rethink how data moves from field collection to CAD and GIS deliverables, enabling scalable digital delivery across transportation, utilities, and infrastructure programs. You'll also work closely with our engineering, product, and design teams to surface customer needs and shape the direction of Digital Surveyor. Key Responsibilities: Customer-facing responsibilities Provide geospatial and survey expertise on sales calls alongside Account Executives. Run and tailor technical product demonstrations for prospects across different verticals and use cases. Own the technical evaluation process: help customers get their project data into Mach9, walk production teams through the workflow, and validate fit for their projects. Own customer onboarding and training through remote and onsite sessions to help teams integrate Mach9 into their production workflows. Serve as a trusted technical resource for customers across experience levels, from geospatial novices to experts. Act as the long-term technical advisor for customers, supporting evolving use cases and scaling across geographic regions, business units, and programs. Represent Mach9 at trade shows, conferences, webinars, and industry groups by presenting on real project applications. Expand Mach9's reach by introducing the product to surveying, geospatial, and engineering firms in your network. Internal-facing responsibilities Partner with Marketing on surveying industry content and positioning, including website copy, sales materials, product messaging, and business case development. Support Engineering, Product, and Design as the internal geospatial expert: evaluate features and workflows, weigh in on architecture decisions, advise on asset feature types and deliverable representation, and collaborate with Product on roadmap prioritization. Train internal team members on surveying and geospatial workflows, technologies, standards, and use cases. Build and maintain onboarding frameworks, training content and technical documentation for Mach9 products. Required Skills and Experience 10+ years of surveying or geospatial experience, with strong preference for candidates with LiDAR data collection and feature ex