Deep Learning & Computer Vision Research Engineer
We are seeking a Deep Learning & Computer Vision Research Engineer to join our client, an innovative applied AI research organisation developing next-generation computer vision, deep learning, and industrial AI solutions for leading international manufacturing and technology companies. As a Deep Learning & Computer Vision Research Engineer, you'll collaborate with researchers and engineers on advanced AI technologies, while providing opportunities for technical growth, innovation, and international collaboration. Key Responsibilities include researching, prototyping, and evaluating state-of-the-art computer vision, deep learning, and multimodal AI techniques for industrial applications, developing proof-of-concept solutions for image classification, object detection, segmentation, anomaly detection, and 3D vision challenges, and building and maintaining reproducible machine learning pipelines covering data acquisition, training, validation, deployment, and monitoring.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Deep Learning & Computer Vision Research Engineer
Bressanone, Italy - Hybrid (1 day remote per week)
We are seeking a Deep Learning & Computer Vision Research Engineer to join our client; an innovative applied AI research organisation developing next-generation computer vision, deep learning, and industrial AI solutions for leading international manufacturing and technology companies. This Deep Learning & Computer Vision Research Engineer opportunity offers the chance to transform cutting-edge research into real-world industrial applications.
As a Deep Learning & Computer Vision Research Engineer, you'll collaborate with researchers and engineers on advanced AI technologies, while providing opportunities for technical growth, innovation, and international collaboration.
Key Responsibilities
- Research, prototype, and evaluate state-of-the-art computer vision, deep learning, and multimodal AI techniques for industrial applications.
- Develop proof-of-concept solutions for image classification, object detection, segmentation, anomaly detection, and 3D vision challenges.
- Build and maintain reproducible machine learning pipelines covering data acquisition, training, validation, deployment, and monitoring.
- Collaborate with software engineers, embedded engineers, academic researchers, and industrial R&D teams to deliver production-ready AI solutions.
- Translate complex industrial problems into scalable AI models, datasets, and technical demonstrators.
- Contribute to technology transfer by documenting solutions and supporting deployment into real-world manufacturing environments.
Required Experience & Skills
- MSc with 3+ years' relevant commercial experience, or a PhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Engineering, or a related discipline.
- Strong commercial or applied research experience in Computer Vision and Deep Learning.
- Excellent Python and PyTorch development skills.
- Experience with OpenCV and modern deep learning architectures including CNNs and Vision Transformers.
- Experience developing models for one or more of: Object Detection
- Object Detection, Image Segmentation, Image Classification, Anomaly Detection, Image Retrieval, 3D Vision, Multimodal AI
- Experience designing experiments, benchmarking models, and evaluating performance.
- Strong understanding of dataset creation, annotation, data quality, and model robustness.
- Experience working within Linux environments using Git and GPU-based training.
- Strong written and spoken Italian & English.
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Desirable
- Experience with Hugging Face, Open3D, or PyTorch Lightning.
- Experience with Vision-Language Models or Foundation Models.
- Knowledge of synthetic data generation, self-supervised learning, or active learning.
- C++ development experience.
- MLOps, edge AI, or embedded deployment experience.
- Scientific publications or experience reproducing academic research.
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Why Apply?
- Work on cutting-edge Computer Vision, Deep Learning, Multimodal AI, and Foundation Model technologies.
- Join a collaborative research environment working alongside leading industrial partners and academic researchers.
- Develop AI solutions that deliver real-world impact across manufacturing, automation, robotics, and industrial inspection.
- Attend international conferences, workshops, and continuous technical development programmes.
- Permanent position with relocation support, visa sponsorship (where applicable), free daily lunch, and flexible remote working one day per week.
- Live and work in the heart of the Italian Dolomites, offering an exceptional quality of life and outdoor lifestyle.
Recruiter's Note
This opportunity would suit a Computer Vision Engineer, Deep Learning Engineer, AI Research Engineer, Applied Scientist, Machine Learning Engineer, or Computer Vision Researcher who enjoys taking the latest research and applying it to real-world industrial challenges. Candidates from industrial AI, robotics, autonomous systems, manufacturing, medical imaging, machine vision, or applied AI research backgrounds are likely to excel.
We're particularly interested in engineers with strong PyTorch experience who enjoy building, experimenting with, and deploying computer vision models rather than purely conducting academic research.
Apply now or send a copy of your CV, referencing Deep Learning & Computer Vision Research Engineer - Bressanone, Italy, together with a short introduction to [email protected].
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