Computer Vision Engineer
Core
Build and deploy state-of-the-art computer vision pipelines for extracting intelligence from optical imagery, including aerial and oblique imagery, using deep learning and foundation models.
Role type
Senior IC Computer Vision Engineer
Builds
Production computer vision models and ML infrastructure for applied AI systems
Domain
Computer Vision / Deep Learning / Aerial Imagery
Deliverable
production ML models
Required skills
Deep learning frameworks (TensorFlow, Keras), Python, Java, Semantic segmentation, Instance segmentation, Few-shot learning, 3D reasoning, Generative modeling, Foundation models (Mask2Former, SAM, ViT, Swin), Large-scale experiment design
Preferred skills
Experience in start-ups, Multi-disciplinary problem solving
Technologies
TensorFlow, Keras, Python, Java, scikit-learn, Pandas, Mask2Former, SAM, ViT, Swin
Responsibilities
Build components of a state-of-the-art computer vision pipeline, Build and improve CV models for aerial and oblique imagery, Run experiments at scale with deep learning frameworks, Develop and maintain clean, modular ML infrastructure, Collaborate on model deployment and inference optimizations, Read and reproduce ideas from latest papers (CVPR, NeurIPS)
Seniority
Senior, hands-on IC
