Mach9
ML Engineer
San Francisco · Mid
Sponsorship not specifiedDetected 49 days ago
PythonMachine LearningDeep LearningPyTorchComputer VisionProduct ManagementSensorsResearchCommunication
About the role
- This role is both research-driven and product-focused.
- 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
- 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.
- 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.
- 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.
Requirements
- 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.
Nice to have
- 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).
Benefits
- Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery.
This listing is sourced directly from Mach9's careers page and normalized into a canonical job model.