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Lead ML Engineer – Real-Time Recommendations (Remote)

Launch Potato

Halifax

Remote

CAD 100,000 - 140,000

Full time

30+ days ago

Job summary

A digital media company is hiring a Machine Learning Engineer to build the personalization engine for its brands. The role involves creating, deploying, and optimizing ML systems that serve 100M predictions daily, directly impacting user engagement and revenue. Candidates should have extensive experience in ML, particularly with ranking algorithms and large-scale system deployment. Join us to accelerate your career in a diverse and inclusive environment.

Qualifications

  • 7 years building and scaling production ML systems with measurable business impact.
  • Track record of improving business KPIs via ML-powered personalization.
  • Experience with A/B testing platforms and best practices.

Responsibilities

  • Drive business growth by optimizing recommendation systems for millions of users.
  • Build and deploy ML models serving 100M predictions per day.
  • Partner with product engineering and analytics to launch high-impact features.

Skills

Experience deploying ML systems serving 100M predictions daily
Strong background in ranking algorithms
Proficiency with Python and ML frameworks
Skilled with SQL and modern data warehouses
Familiarity with distributed computing

Tools

TensorFlow
PyTorch
Spark
Job description
A digital media company is hiring a Machine Learning Engineer to build the personalization engine for its brands. The role involves creating, deploying, and optimizing ML systems that serve 100M predictions daily, directly impacting user engagement and revenue. Candidates should have extensive experience in ML, particularly with ranking algorithms and large-scale system deployment. Join us to accelerate your career in a diverse and inclusive environment.
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