Elevate your career as a Senior Applied Scientist with Amazon's Edge AI team. Focus on developing multimodal language models and innovative evaluation methods to enhance device experiences.

At Amazon

Devices, we are seeking an exceptional scientist with a robust background in machine learning and model evaluation. You will collaborate with engineers and fellow scientists to create better evaluation frameworks for audio and visual tasks. This role offers the opportunity to analyze complex datasets and improve model performance through teamwork and cutting-edge methods. Key Responsibilities:

- Collaborate on multimodal model evaluations for devices
- Invent novel automated evaluation methods for perception tasks




- Develop and enhance evaluation frameworks for language models
- Analyze datasets to interpret model performance gaps
- Work closely with cross-functional teams on evaluation methods Requirements:
- 3+ years machine learning model development experience
- PhD or Master's with 6+ years applied research
- Proficiency in Java, C++, or Python programming
- Familiarity with deep learning methods and machine learning
- Experience in software and systems development Drive innovative evaluation methods and model enhancements as part of Amazon's cutting-edge Edge AI team.

📌 Applied Scientist for Edge AI at Amazon (Vancouver)
🏢 Amazon
📍 Vancouver