Build private on-device AI for Alexa Connections as an Applied Scientist in Vancouver or Toronto, using machine learning and model optimization. Amazon’s Alexa Connections team develops communication intelligence across calls, text, and email. As an Applied Scientist, you will research, develop, and deploy edge AI that understands intent, context, and relationships. You will apply deep learning, small language models, and generative intelligence while collaborating with hardware, systems, and product teams. Key Responsibilities:
Research and deploy next-generation on-device AI for communication Design arbitration between local and cloud inference Apply quantization, distillation, and low-rank adaptation Optimize inference across NPUs and mobile GPUs Build privacy-first personalization that remains on-device Requirements:
Master’s degree in computer science, electrical engineering, or related field Two-plus years in machine learning or on-device AI Programming knowledge including C/C++, Python, Java, or Perl Experience with PyTorch or TensorFlow Experience deploying models through on-device inference, NLU, or LLMs Apply machine learning, model optimization, and privacy-first AI expertise to advance Alexa Connections communication intelligence.
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On-Device AI Applied Scientist in Vancouver employer: Amazon Inc.
At Amazon, we pride ourselves on being an exceptional employer, particularly for the Applied Scientist role within Alexa Connections. Our inclusive culture fosters innovation and collaboration, empowering employees to develop cutting-edge language intelligence that enhances communication for millions. With comprehensive benefits, opportunities for professional growth, and a commitment to trust and privacy, working in our Vancouver or Toronto offices offers a rewarding experience where your contributions truly matter.
