Applied Scientist, Alexa Edge AI

Model Development: Design and build deep learning models for computer vision, audio understanding, and multimodal semantic fusion — including architectures that enable joint reasoning across visual, auditory, and textual modalities. End-to-End Ownership: Own the full ML lifecycle — from problem formulation, data strategy, and annotation design through experimentation, evaluation frameworks, model optimization, and deployment at scale. Research & Innovation: Stay at the frontier of CV, audio ML, and multimodal learning; identify and apply SOTA techniques and contribute to the scientific community through papers at top-tier venues (CVPR, NeurIPS, ICASSP, ICCV, ACL). BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms PREFERRED QUALIFICATIONS - Knowledge of standard speech and machine learning techniques - PhD or work experience in a relevant field (CV, Audio, multimodal language models) Experience with distributed training, model compression, and inference optimization (e.g. pruning, quantization, distillation, etc.) - Publications at top-tier ML/CV/Audio conferences - Demonstrated ability to work in ambiguous, fast-paced environments and define technical roadmaps independently

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.