Applied Scientist – Vision & Multimodal LLMs in Toronto

Applied Scientist – Vision & Multimodal LLMs in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Innovate in computer vision and develop ML algorithms for Ring devices.
  • Company: Join Ring by Amazon, a leader in smart home technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement.
  • Why this job: Make a real impact on millions of customers with cutting-edge technology.
  • Qualifications: Experience in computer vision and machine learning required.

The predicted salary is between 135000 - 165000 $ per year.

Ring by Amazon is seeking a passionate scientist in computer vision to innovate for millions of customers.

You will develop highly optimized ML algorithms for scale and collaborate across teams to build integrated hardware and software platforms for Ring devices.

You will work on multi-modal LLMs and Vision Language Models, participate in designing data-driven models, and influence product and system design with informed decisions on data sources, algorithms, and sensors.

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Applied Scientist – Vision & Multimodal LLMs in Toronto 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.

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Contact Details:

Amazon Inc. Recruitment Team

We think you need these skills to ace Applied Scientist – Vision & Multimodal LLMs in Toronto

Machine Learning Algorithms
Computer Vision
Multi-modal LLMs
Vision Language Models
Data-driven Model Design
Collaboration Skills
Hardware and Software Integration