Computer Vision and Machine Learning Engineer

4 requirements, read out of the advert rather than guessed from the job title:

• Python
• C++
• PyTorch
• TensorFlow

Also mentioned, not required: ONNX, TensorRT, CUDA, OpenCV, ROS, ROS2, GStreamer, English. Worth having, but their absence is not what gets a CV filtered out.

See how often each of these is required across open data roles in Europe.

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)