Job Search and Career Advice Platform

Enable job alerts via email!

GenAI-Driven Applied Scientist for Off-Search Ads

Amazon

Toronto

On-site

CAD 149,000 - 250,000

Full time

2 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading e-commerce company in Toronto seeks an Applied Scientist to revolutionize advertising through Generative AI and machine learning. You will contribute to developing personalized ad experiences and mentor junior team members. Ideal candidates will have a PhD or Master's in a relevant field, practical experience with AI models, and programming skills in languages like Java and Python. This role offers a competitive salary range and comprehensive benefits.

Benefits

Comprehensive health insurance
Registered Retirement Savings Plan (RRSP)
Paid time off

Qualifications

  • 3+ years of building models for business application experience.
  • Experience developing and deploying models in real-world production environments.
  • Strong foundation in probabilistic modeling and optimization.

Responsibilities

  • Contribute to the design and development of GenAI and deep learning solutions.
  • Collaborate with scientists, engineers, and product managers.
  • Stay abreast of industry trends in GenAI and LLMs.

Skills

Generative AI
Large Language Models
Deep Learning
Machine Learning
Programming in Java
Programming in C++
Programming in Python

Education

PhD or Master’s degree in CS, CE, ML or related field
Job description
A leading e-commerce company in Toronto seeks an Applied Scientist to revolutionize advertising through Generative AI and machine learning. You will contribute to developing personalized ad experiences and mentor junior team members. Ideal candidates will have a PhD or Master's in a relevant field, practical experience with AI models, and programming skills in languages like Java and Python. This role offers a competitive salary range and comprehensive benefits.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.