4 hours ago
Base Salary
$160k - $250k/yr
Responsibilities
- Design and build systems for versioning training data, generated datasets, and model artifacts with end-to-end lineage tracking.
- Develop reliable and reproducible ML training and data-generation pipelines.
- Refactor and harden ML training and data-generation scripts into composable, testable, and maintainable components.
- Create CI/CD workflows with automated correctness checks and regression detection for data pipelines and model training runs.
- Build tooling for ML engineers to launch, monitor, and debug training jobs.
- Optimize and scale real-time model inference services through latency profiling, batching, and resource-efficient serving.
- Own reliable deployment, rollout, rollback, and monitoring processes from trained model artifacts to production endpoints.
Requirements
- At least 3 years of relevant work experience.
- Bachelor’s or master’s degree in Computer Science, Engineering, or equivalent experience.
- Strong communication skills and ability to collaborate with ML researchers and engineers.
- Experience building data versioning, artifact management, or dataset lineage systems such as DVC, LakeFS, Weights & Biases, or custom solutions.
- Hands-on experience with ML pipeline orchestration tools such as Airflow, Prefect, or Metaflow.
- Experience with model serving and inference optimization, including latency profiling, memory reduction, or serving infrastructure scaling.
- Ability to read and refactor ML training code without necessarily designing model architectures.
- Proficiency with Python and PyTorch.
- Preferred experience with AWS infrastructure, containerized ML workflows, GPU-accelerated training, model optimization, infrastructure-as-code, and large unstructured datasets.
About Mach9
Mach9 develops AI-powered geospatial software that converts reality-capture datasets (LiDAR and imagery) into high-precision 3D maps and engineering-ready CAD/GIS deliverables. Its flagship product, Digital Surveyor, automatically extracts assets such as utility poles, signage, curbs, and striping for surveying, civil engineering, and GIS teams working on infrastructure projects. Founded in 2021 and headquartered in San Francisco, the privately held company offers a browser-based 3D CAD platform used to speed project delivery.