TL;DR

Senior Machine Learning Engineer (Ads): Designing, building, and deploying industrial-level ML models for ad ranking, bidding, and optimization with an accent on scalable serving systems, feature engineering, and production reliability. Focus on solving complex real-world advertising problems, improving ML system stability, and collaborating cross-functionally to drive business impact.

Location: Remote, Ontario, Canada

Company

%hirify_global% is a large online community platform with over 100,000 active communities and more than 100 million daily active users, focused on authentic conversations and user engagement.

What you will do

Design, build, and deploy scalable machine learning models for ad ranking, bidding, and optimization.
Own the full ML lifecycle from research to production deployment and maintenance.
Perform systematic feature engineering to enhance model performance.
Collaborate with product managers, data scientists, and engineers to translate business needs into ML solutions.
Build robust monitoring, alerting, and automated retraining pipelines to improve system reliability.
Research and apply state-of-the-art ML techniques to advance team strategy and roadmap.

Requirements

Must have experience in the Ads domain.
3-5+ years of end-to-end experience in training, evaluating, and deploying ML models in production.
Proficiency in Python or Scala and solid software development practices.
Hands-on experience with ML frameworks like TensorFlow or PyTorch and deep understanding of ML concepts.
Proven ability to work cross-functionally to deliver effective ML solutions.

Nice to have

Experience or interest in advertising business and customer needs.
Advanced degree (MS/PhD) in a quantitative field.
Familiarity with distributed systems and large-scale data processing technologies such as Spark and Kafka.