Job Description:
• Develop and deploy deep learning-based computer vision solutions that enhance user experiences across Samsung Food products
• Work on cutting-edge computer vision applications, including image recognition, detection, segmentation, and generative modeling
• Conduct R&D using our multimodal data (recipe images, videos, user-generated content)
• Stay up to date with the latest developments in CV and DL research and apply them to production use cases
• Develop scalable, efficient inference pipelines for real-world applications across mobile and server environments
• Collaborate closely with ML engineers and data engineers to improve model serving infrastructure and ML pipelines
• Support continuous integration and monitoring of ML models in production environments
• Collaborate on NLP-related tasks where applicable, particularly in multimodal or content-driven applications
Requirements:
• Minimum 4 years of experience in a machine learning engineering role
• Demonstrated experience in building and deploying computer vision models in production
• Strong theoretical and practical knowledge of CV techniques and architectures (e.g., CNNs, Vision Transformers, YOLO, UNet, Diffusion Models)
• Strong hands-on experience with Python and PyTorch (our primary DL framework)
• Experience with image recognition, segmentation, object detection, or visual classification tasks
• Familiarity with model optimization techniques (e.g., quantization, pruning, distillation)
• Understanding of trade-offs in performance and latency for real-world applications, including deployment to mobile and server environments
• Solid software engineering practices, including clean, maintainable, and production-grade code
• Working proficiency in English.
Benefits:
• 100% remote work
• Join a supportive and dynamic team
• Long-term commitment
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