Job Search and Career Advice Platform

Enable job alerts via email!

Lead Applied Scientist - Multimodal Vision & LLMs

Amazon

Toronto

On-site

CAD 120,000 - 180,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading tech company in Toronto is looking for a Principal Applied Scientist specializing in Computer Vision. The ideal candidate will have a PhD and over 10 years of experience in machine learning, focusing on developing advanced algorithms and strategies. You will work collaboratively with teams to drive innovative solutions that improve customer experiences and ensure the practical application of research. Strong programming skills in Java, C++, or Python are essential. This position offers competitive compensation and opportunities for professional growth.

Qualifications

  • 10+ years of practical work applying ML to solve complex problems.
  • Experience leading teams and developing junior professionals.
  • Knowledge of deep learning and natural language processing.

Responsibilities

  • Define key research directions in Multimodal LLMs and Computer Vision.
  • Develop long-term strategies and propose goals.
  • Participate in organizational planning and mentorship.

Skills

Computer Vision
Machine Learning
Algorithm Design
Java
C++
Python

Education

PhD in Electrical Engineering, Computer Science, Mathematics
Job description
A leading tech company in Toronto is looking for a Principal Applied Scientist specializing in Computer Vision. The ideal candidate will have a PhD and over 10 years of experience in machine learning, focusing on developing advanced algorithms and strategies. You will work collaboratively with teams to drive innovative solutions that improve customer experiences and ensure the practical application of research. Strong programming skills in Java, C++, or Python are essential. This position offers competitive compensation and opportunities for professional growth.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.