{"id":2360307,"url":"https://alion.io/job/sunflower-labs-computer-vision-and-machine-learning-engineer","title":"Computer Vision and Machine Learning Engineer","company":{"id":692792,"name":"Sunflower Labs","domain":"sunflower-labs.com","url":"https://alion.io/company/sunflower-labs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":224000,"period":"year","method":"role_country_seniority_unknown","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"GStreamer","optional":true}],"status":"live","first_seen_at":"2025-12-01T15:19:25Z","employer_posted_date":"2025-12-01","last_verified_at":"2026-10-13T02:58:21Z","board_verified":true,"closed_at":null,"days_open":315,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":315},"description":"We are looking for a computer vision and machine learning (CV/ML) engineer to enhance the perception capabilities of our fully autonomous drone-in-a-box system. You will be joining a small, CV/ML focused team and be one of the core contributors to our software stack, taking algorithms and models from prototype to deployment on the systems in the field. This position is for an on-site employee for our Zurich office.\nTasks\nDesign and develop a wide variety of computer vision and machine learning features for real-time unmanned aerial vehicle (UAV) applications\n\nTrain, fine-tune and evaluate deep learning models for tasks such as object detection, semantic segmentation, image retrieval/reidentification\n\nOptimize algorithms and models for edge devices (NVIDIA Jetson and Qualcomm Dragonwing), and integrate them into our image and video processing pipelines\n\nMonitor ML model performances in real world deployments and set up workflows for continuous improvement (data collection, curation, labeling, retraining, evaluation)\n\nIntegrate large/vision language models into our system, and design, test and maintain queries for tasks like scene understanding, situational awareness and hazard analysis\n\nRequirements\nDegree in Computer Science, Electrical Engineering, Robotics Engineering, or a related field (or equivalent practical experience)\n\nSolid understanding of computer vision and machine learning fundamentals\n\nStrong programming skills in Python and C++\n\nExperience with PyTorch or TensorFlow, OpenCV, ROS/ROS2, CUDA, TensorRT\n\nExperience with end-to-end model development: from dataset curation, labeling strategies, active learning workflows to deployment and optimization for edge devices\n\nExperience with transformers, large/vision language models and prompt design for perception tasks is a plus\n\nExperience with GStreamer pipelines and custom plugin development is a plus\n\nExperience with Qualcomm edge devices and CV/ML SDKs is a plus\n\nGood oral and written skills in English\n\nWork permit in Switzerland 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