Senior Computer Vision Engineer- US
$190,000–$210,000 year
RemoteUnited States
EXPIREDUnited StatesRemotePart Time$190,000–$210,000 yearSenior LevelSmall
Part TimeSenior LevelSmall
Job Summary
Design, build, and improve end-to-end detection and segmentation pipelines for document images, focusing on geometric accuracy with messy real-world PDFs and drawings. Integrate modern models into production workflows, handling parsing, rendering, and multi-page content while optimizing latency, reliability, and cost. Own training infrastructure, dataset curation, and continuous-improvement loops, defining evaluation metrics to investigate failure cases and drive quality. Make architectural decisions that end-to-end system quality, ensuring accurate predictions suitable for downstream measurement and analysis.
Required Qualifications
- Experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production
- Experience working with messy, real-world image data or large unstructured visual datasets
- Strong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing
- Ability to measure system performance with evaluation, testing, and production metrics
- Ability to explain failure modes clearly and improve systems through debugging, dataset work, and iteration
- Experience with multimodal models (vision-language models, document AI systems)
- Understanding of grounding — linking model outputs to source data or coordinates
- Backend engineering experience, including APIs, async processing, and scalable GPU services
Desired Qualifications
- Experience with polygon or mask post-processing, geometric regularization, or CAD-style structured output
- Experience with layout-aware document processing, PDF vector extraction, or combining raster and vector signals
- Background in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows
- Experience optimizing inference cost and latency at scale
- Familiarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.