--- title: ML Engineer, Product at Mach9 in San Francisco, CA description: Mach9 is hiring for the ML Engineer, Product role in San Francisco, CA. Pays $180K–$300K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/ml-engineer-product-at-mach9-01a0f974-1694-77ae-8192-265fa863f2b4 date: 2026-11-15T01:26:44Z og_description: Join Mach9 as ML Engineer, Product in San Francisco, CA. Pays $180K–$300K per year. Full-time role. See the full description and apply. og_image: https://www.foundrole.com/og/grd7xa.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Mach9 | | **Location** | San Francisco, CA | | **Salary** | $180K/yr - $300K/yr | | **Type** | Full Time | | **Posted** | Oct 02, 2026 | ## Is this job real? **Ghost job check:** C · Some flags. Mostly fine, a few things to check. ## Visa sponsorship - **H-1B:** Mach9 sponsors H-1B visas. It filed 1 H-1B petition (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Mach9. ## Pay for similar jobs Most similar jobs pay $205,000 – $251,000 a year (median $230,000). ## 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. ## Skills - Cloud Computing - Electrical Grounding - 3D Perception - Open-Source Software - Point Clouds - Robotics - Python - Vision-Language Models (Vlm) - Feature Extraction - Foundation Models - Machine Learning Model Fine-Tuning - Light Detection And Ranging (LiDAR) - Regression Analysis - Evaluation Pipelines - AI-Assisted Coding - ONNX - Market Segmentation - GPU (Graphics Processing Unit) - Computer Science - NVIDIA TensorRT ## Related - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Machine Learning & AI jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai?utm_source=ai_markdown)- [Artificial Intelligence Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer?utm_source=ai_markdown)- [Machine Learning Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer/machine-learning-engineer?utm_source=ai_markdown)- [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) — 260759 jobs - [Software Products](https://www.foundrole.com/sectors/technology/software-products?utm_source=ai_markdown) — 118920 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27904 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Software Products](https://www.foundrole.com/sectors/technology/software-products?utm_source=ai_markdown) — 118920 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27904 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?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) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)