Join Amazon Devices as an Applied Scientist focused on multimodal language models. Collaborate cross-functionally to invent evaluation methods that enhance product experiences and drive innovation.

In this role, you'll leverage your expertise in machine learning to develop and validate current evaluation methods for devices, including audio and visual components. You’ll analyze extensive datasets and collaborate closely with engineers and scientists to enhance model capabilities and contribute to Amazon’s cutting-edge technology.

Key Responsibilities:
• Collaborate on multimodal model evaluations for devices
• Invent automated evaluation methods for perception tasks
• Develop and extend evaluation frameworks for language models




• Analyze datasets to interpret model failures and gaps
• Work with training teams to enhance model capabilities

Requirements:
• 3+ years building machine learning models experience
• PhD or Master's with 6+ years applied research
• Proficiency in Java, C++, Python, or related languages
• Familiarity with neural deep learning methods
• Experience with Linux/Unix operating systems

Contribute to groundbreaking AI advancements in consumer devices with Amazon's Edge AI team.
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📌 Applied Scientist in Multimodal Language Models (British Columbia)
🏢 Royal Bank of Canada
📍 British Columbia