The U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL, is seeking a Machine Learning (ML) Research Engineer to support the development of self-supervised learning methods for large vision-language models to benefit downstream tasks including object detection and counting, semantic segmentation, change detection, damage assessment, and polygonization of geospatial vector geometries across research projects at ORNL.
Requirements
- Hands-on experience training machine learning models on Earth observation imagery and HPC infrastructures using GPU accelerators.
- Experience building data-fusion workflows to ingest multi-modality geospatial data.
- Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework.
- Experience working with spatio-temporal datasets and remote sensing imagery.
- Knowledge of distributed computing, quality control and assessment of satellite imagery derived products.
- Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
- Experience with PyTorch computing framework
Responsibilities
- Deploy large-scale production workflows to support high-volume of sponsor imagery feature requirements.
- Develop and implement production workflows for infrustracture damage assessment and change monitoring.
- Handle high-cadence sponsor data deliverables.
- Scaling of deep neural network inference and deploying tools for polygonization of building footprint vector geometries.
- Develop and implement workflows to support large scale self-supervising learning for large vision-language models.
- Collect, process, and analyze large volumes of high-resolution satellite imagery.
- Support the design and implementation of efficient finetuning methods for deploying task specific foundation models.
Other
- MS or PhD in electrical engineering, civil engineering, geoinformation science, or a related field and two (2) years of applied experience (professional or academic lab setting).
- Visa sponsorship is not available for this position.
- This position requires the ability to obtain and maintain a Q clearance.
- Must be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A.
- Must successfully complete and pass a Federal Tier 1 background check investigation.
