About the job
Our Mission:
At Sunrise Robotics, we are committed to enhancing human potential through innovative robotics. Our goal is to transform the manufacturing landscape by deploying intelligent, adaptable robots that improve human capabilities and existing machinery, leading to a new era of production characterized by superior quality, reduced waste, and lower costs.
Our Vision:
We envision a future where every aspect of manufacturing, from design to assembly, is fine-tuned through intelligent automation. Our aspiration is to seamlessly integrate flexible robotic solutions, leveraging generic hardware and cutting-edge software/AI technologies, particularly in small and medium-sized enterprises, to make automation accessible and economically feasible for manufacturers of all sizes. We are not merely constructing robots; we are developing the essential components for the autonomous, intelligent agents of tomorrow.
The Role:
As a Computer Vision Engineer, you will face an exciting challenge: creating flexible, scalable, and maintainable deep learning pipelines. Your work will encompass 2D image classification, object detection, semantic and instance segmentation, metric learning, smart filtering, and more, while exploring the latest state-of-the-art methods.
What You'll Do:
Develop 2D/3D imaging-based solutions to identify objects, anomalies, or specific events.
Assist in the design and development of in-house MLOps.
Implement end-to-end computer vision and machine learning applications and ensure their operation in production environments 24/7.
Utilize state-of-the-art methods to help build the next generation of robotics alongside an international multidisciplinary team.
Who You Are:
An adept and seasoned computer vision or machine learning engineer with professional experience in 2D/3D Computer Vision and Deep Learning.
A software engineer who has successfully implemented solutions for production-grade systems for over 3 years.
Proficient in Python and knowledgeable in additional programming languages such as C++.
Experienced with deep learning frameworks like PyTorch and TensorFlow, as well as computer vision libraries such as OpenCV, NumPy, and Pandas.
Possess comprehensive knowledge of model training and evaluation processes.