Requirements

MSc, D.Sc., or equivalent in Computer Science, Electrical Engineering, or related field
Strong machine learning and deep learning fundamentals
Experience with algorithm design and deployment into resource-constrained systems
Proficiency in Python for ML development and prototyping
Experience in AI algorithm development and productization, preferably for camera systems
Strong understanding of image signal processing and imaging algorithms
Experience with continuous integration, version control (git), unit testing
Strong communication skills, with the ability to document and present ideas and designs
Embrace and use latest AI tools and techniques for fast development

Nice to Haves

Experience with model optimization techniques (quantization, pruning, compression)
Experience with AI accelerators and inference engines (TensorRT, ONNX Runtime, ExecuTorch, etc.)
Understanding of embedded systems constraints
Knowledge of camera systems and imaging pipelines
Proficiency in C++ for algorithm implementation
Experience with CMake and build systems
Experience in designing APIs, libraries, and highly maintainable components
Publications or contributions to AI/ML open source projects

Designing camera algorithms leveraging AI for deployment on device NPU or cloud
Developing new AI-based camera algorithms and ensuring feasibility for embedded deployment
Innovating solutions for image processing enhancements and communicating effectively with team
Working with hardware and prototype devices on Amazon Tampere premises

Opportunity to work with the latest technologies in AI and imaging systems
Collaboration with experts in the field at Amazon Ring and Tampere office
Flexible culture where results matter
Empowerment to innovate and contribute to groundbreaking features for Ring products