Nexxa.ai
AI Vision Engineer
SF Bay area · Hybrid · Full-time · Posted Aug 27, 2026
- Experience
- 3+ years of industry experience; must have independently owned and delivered computer vision projects from concept to production.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience.
About the job
Designs, builds, evaluates, and deploys computer vision and multimodal AI systems for industrial applications, from prototype through production.
What you'll do
- Develop and optimize computer vision pipelines and models for tasks including detection, segmentation, classification, OCR, and tracking.
- Fine-tune vision-language and multimodal models, and build real-time inference for edge and cloud deployment.
- Create data pipelines and evaluation benchmarks; optimize models for production constraints such as latency and hardware.
What they ask for
- 3+ years of industry experience in Computer Vision, Machine Learning, Applied AI, or related fields.
- Bachelor's degree in a related technical field, or equivalent practical experience.
- Strong Python skills and hands-on experience with PyTorch and modern deep learning workflows.
- Production experience developing and deploying computer vision models; experience with OpenCV, CV/detection frameworks, VLMs or multimodal models, and Hugging Face Transformers.
Nice to have
- Master's degree in a related field.
- Experience with OCR/document understanding, edge deployment, real-time inference optimization, 3D vision/SLAM, cloud platforms, or MLOps.
Tools
Python, PyTorch, OpenCV, YOLO, Detectron2, MMDetection, Hugging Face Transformers, TensorRT
AI focus
Builds and deploys industrial computer vision systems, including vision-language models, multimodal reasoning, visual question answering, and document understanding.
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