Senior Edge AI Scientist - Multimodal Model Evaluations

Amazon Science

Vancouver

On-site

CAD 196,000 - 327,000

Full time

14 days+

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Benefits offered by this job

Health insurance
RRSP
DPSP
Paid time off
Well-being resources

Job summary

Amazon Science in Vancouver, BC, Canada, is seeking a Sr. Applied Scientist to advance multimodal language model evaluations across Echo, Fire Tablet, Fire TV and other devices.

The role emphasizes machine learning research, evaluation framework development, and cross-functional collaboration with hardware-software teams. The ideal candidate will have 3+ years building ML models for business use, a PhD or Master’s with 6+ years of applied research, and strong experience in Java/C++/Python and

Qualifications

  • 3+ years building ML models for business applications.
  • PhD or Master with 6+ years of applied research experience.
  • Proficiency in Java, C++, Python or related language.
  • Experience with neural deep learning methods.

Responsibilities

  • Collaborate to advance multimodal model evaluations for devices.
  • Invent and validate automated evaluation methods for perception tasks.
  • Develop and extend evaluation frameworks for multimodal language models.
  • Analyze large datasets to understand model gaps and improve production capabilities.
  • Work with engineers and product teams to advance evaluation methods.

Skills

ML model development
Java/C++/Python
Deep learning

Education

PhD or Master + 6+ yrs research

Tools

R
scikit-learn
TensorFlow
MxNet

Job description

Amazon Science in Vancouver, BC, Canada, is seeking a Sr. Applied Scientist to advance multimodal language model evaluations across Echo, Fire Tablet, Fire TV and other devices.

The role emphasizes machine learning research, evaluation framework development, and cross-functional collaboration with hardware-software teams. The ideal candidate will have 3+ years building ML models for business use, a PhD or Master’s with 6+ years of applied research, and strong experience in Java/C++/Python and

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