Sunflower Labs GmbH · Stallikon
Skills: Python
We are looking for a Computer Vision and Machine Learning (CV/ML) Engineer to develop and deploy intelligent perception systems for our autonomous drone-in-a-box platform. You will work on challenging real-world computer vision problems, from real-time object detection and tracking on embedded devices to advanced scene understanding and cloud-based inference. As part of a small, technical team, you will own solutions across our software stack, taking algorithms and models from prototype to deployment. This position is for an on-site employee for our Zurich office.
Responsibilities
Design and develop a wide variety of computer vision and machine learning features for real-time unmanned aerial vehicle (UAV) applications Train, fine-tune and evaluate deep learning models for tasks such as object detection, instance segmentation, image retrieval/reidentification Optimize algorithms and models for edge devices (NVIDIA Jetson and Qualcomm Dragonwing), and integrate them into our image and video processing pipelines Monitor ML model performance in real-world deployments and set up workflows for continuous improvement (data collection, curation, labeling, retraining, evaluation) Evaluate and integrate large/vision language models for scene understanding, situational awareness, and hazard analysis, including prompt design, performance benchmarking, and production deployment
Qualifications
Degree in Computer Science, Robotics Engineering, Electrical Engineering, or a related field (or equivalent practical experience) Solid understanding of computer vision and machine learning fundamentals Strong programming skills in Python and C++, with experience developing production-grade software that powers CV/ML systems Experience with PyTorch or TensorFlow, ONNX, TensorRT, CUDA Experience with end-to-end model development: from dataset curation, labeling strategies, active learning workflows to deployment and optimization for edge devices Excellent oral and written skills in English Work…
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