--- title: ML Infrastructure Engineer at Mach9 description: Mach9 is hiring for the ML Infrastructure Engineer role in San Francisco, CA. Pays $160K–$250K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/ml-infrastructure-engineer-at-mach9-01a0ff14-33e5-700b-a227-f48a61dd9ca3 date: 2026-10-03T00:17:14Z og_description: Join Mach9 as ML Infrastructure Engineer in San Francisco, CA. Pays $160K–$250K per year. Full-time, on-site role. og_image: https://www.foundrole.com/og/1a8rkv.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Mach9 | | **Location** | San Francisco, CA | | **Salary** | $160K/yr - $250K/yr | | **Type** | Full Time | | **Posted** | Oct 02, 2026 | ## 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). ## Skills - Build Tools - Debugging - Amazon Web Services - Machine Learning Model Training - GPU Computing - Data Annotation - Prefect - Data Version Control (Dvc) - Infrastructure as Code (IaC) - lakeFS - Artifact Management - Software Deployment - Python - Data Pipeline Orchestration - Terraform - Apache Airflow - Regression Analysis - Inference Optimization - CI/CD - Software Versioning - Vacuum Distillation Processes - Quantization - Machine Learning Inference - Training Pipelines - AWS Cloud Development Kit (Cdk) - Performance Profiling - Computer Science - NVIDIA TensorRT - Data Lineage - Model Optimization - ONNX Runtime - Communication - Machine Learning - Model Serving - Code Refactoring - Data Pipeline ## How to Apply [Apply for this position](https://www.foundrole.com/jobs/ml-infrastructure-engineer-at-mach9-01a0ff14-33e5-700b-a227-f48a61dd9ca3?utm_source=ai_markdown) ## Related - [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 169731 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 25394 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 15162 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 169731 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 25394 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 15162 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by state and city](https://www.foundrole.com/locations?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)