ML Engineer, Remote-First Real-Time Personalization

Launch Potato; Victoria; Remote; CAD 100,000 - 150,000; Full time

Job summary

A leading digital media company in Canada is seeking a Machine Learning Engineer to build and optimize recommendation systems. You will deploy models serving over 100M predictions daily to personalize user experiences effectively. The ideal candidate has over 5 years of experience in ML systems with strong skills in ranking algorithms and data processing. This role offers the chance to drive significant business impact through innovative solutions.

Qualifications

• 5+ years of experience building and scaling production ML systems with measurable business impact.
• Experience deploying ML systems serving over 100M predictions daily.
• Strong background in ranking algorithms such as collaborative filtering, learning-to-rank, and deep learning.

Responsibilities

• Drive business growth by building and optimizing recommendation systems.
• Own modeling, feature engineering, data pipelines, and experimentation.
• Run statistically rigorous A/B tests to measure business impact.

Skills

Building and scaling production ML systems

Deployment of ML systems

Ranking algorithms expertise

Proficiency in Python

SQL and data warehouses

Distributed computing knowledge

Impact improvement through ML

Experience with A/B testing

Tools

TensorFlow

PyTorch

Spark

Ray

Job description

A leading digital media company in Canada is seeking a Machine Learning Engineer to build and optimize recommendation systems. You will deploy models serving over 100M predictions daily to personalize user experiences effectively. The ideal candidate has over 5 years of experience in ML systems with strong skills in ranking algorithms and data processing. This role offers the chance to drive significant business impact through innovative solutions.