Computer Vision Engineer
Are you a visionary with expertise in computer vision and deep learning? Do you have a passion for building cutting-edge AI models? If so, we invite you to join our team of innovators who are pushing the boundaries of what is possible in object detection, segmentation, and other core computer vision tasks.
We're seeking a highly skilled Computer Vision Engineer to drive the entire lifecycle of our world-class, open-source AI models. You will be responsible for developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the YOLO ecosystem.
Key Responsibilities:
* Model Development : Develop, train, and optimize state-of-the-art computer vision models, including implementing advanced data augmentation and preprocessing techniques.
* Model Export : Master model export to various formats, including ONNX, OpenVINO, and TensorRT, to support a wide range of hardware.
* Model Deployment : Work on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices.
* CI/CD Pipeline Management : Contribute to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing.
Requirements:
* Experience : 5+ years of hands-on experience in Computer Vision and Deep Learning.
* Expertise : Expert-level proficiency in Python and deep expertise with PyTorch.
* Practical Experience : Strong practical experience with OpenCV for image and video processing tasks.
* Portfolio : A strong portfolio of projects or contributions to open-source AI repositories.
What We Offer:
* Competitive Salary : Highly competitive based on experience.
* Startup Equity : Participate directly in our company's growth and success.
* Flexible Working Hours : Tailor your working hours to suit your productivity.
* Cutting-Edge Tech : Engage with the latest AI projects and our Ultralytics HUB.
* Brand-New Gear : Brand-new Apple MacBook and Apple Display provided.