Drive innovation in multimodal language models with Amazon Devices as a Senior Applied Scientist in Vancouver. Collaborate on evaluation methods for cutting-edge audio and visual device experiences.

As a Senior Applied Scientist in the Silicon and Solutions Group Edge AI team, you will enhance evaluation frameworks and methods for multimodal models across Amazon's product lineup. This role emphasizes collaboration with engineers and scientists to create reliable evaluations and conduct thorough data analysis. Your contributions will directly improve model capabilities and customer experiences on devices like Echo and Fire TV.

Key Responsibilities:



• Collaborate with teams to advance multimodal model evaluations • Invent automated evaluation methods for perception tasks • Develop frameworks to support multimodal capabilities • Analyze datasets to identify model gaps and improve methods • Work closely with cross-functional teams to enhance evaluations

Requirements: • 3+ years in machine learning model development • PhD or Master’s with 6+ years in applied research • Proficiency in Java, C++, or Python • Knowledge of deep learning methods • Experience with data analysis tools and frameworks

Bring your expertise in multimodal AI and model evaluation to Amazon Devices and elevate customer interactions. #J-18808-Ljbffr

📌 Senior Applied Scientist For Edge Ai Vancouver
🏢 Amazon Science
📍 Vancouver