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6 days ago
We are seeking a skilled Computer Vision Engineer to enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models.
This is a frontier challenge in computer vision and GIS, where the goal is to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo's strategy in self-driving technology.
Key Responsibilities:- Design and implement transformer-based architecture for semantic segmentation of aerial imagery
- Develop efficient image-to-token and token-to-image conversion pipelines
- Create and maintain training datasets, including data cleaning, augmentation, and validation
- Optimize model training processes for distributed computing environments
- Implement efficient inference pipelines for production deployment
- Collaborate with engineering team to integrate new models into existing infrastructure
- Strong foundation in computer vision and deep learning fundamentals
- Extensive experience training transformer models from scratch
- Expert-level proficiency in PyTorch
- Experience with ONNX or TensorRT model optimization and deployment
- Deep understanding of distributed computing and parallel processing
- Advanced Python knowledge, including multi-threading and multi-processing optimization
- Experience with semantic segmentation tasks
- Proven track record of handling large-scale data processing
- 5+ years of hands-on deep learning experience
- Track record of successfully deploying computer vision models in production
- Experience with vision transformer architectures
- Experience optimizing models for production using ONNX/TensorRT
- Background in handling high-resolution satellite/aerial imagery preferred
- Masters/PhD in Computer Science, Machine Learning, or related field preferred
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Others:This role requires a strong mathematical foundation in deep learning concepts, excellent technical documentation and communication skills, and the ability to conduct independent research and stay current with the latest developments in the field.
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