TL;DR

Machine Learning Engineer (Ads): Design, build, and deploy industrial-level ML models for ad ranking, bidding, and optimization with an accent on full ML lifecycle ownership and feature engineering. Focus on building scalable serving systems, improving model reliability, and applying state-of-the-art ML techniques to drive advertiser value.

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 community engagement.

What you will do

Design, build, and deploy 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 improve model performance.
Collaborate with product managers, data scientists, and engineers to translate business needs into ML solutions.
Build monitoring, alerting, and automated retraining pipelines to ensure system reliability.
Research and apply new ML algorithms and techniques to advance team goals.

Requirements

At least 3+ years of experience in end-to-end ML model training, evaluation, and deployment in production.
Proficiency in programming languages such as Python or Scala and solid software development practices.
Hands-on experience with ML frameworks like TensorFlow or PyTorch and strong understanding of ML concepts.
Ability to work effectively with cross-functional teams to deliver technical solutions.
Proven track record of using ML to solve complex real-world problems and drive KPIs.
English proficiency at least B2 level or higher.

Nice to have

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

Culture & Benefits

Flexible workforce with option to work remotely or from physical offices.
Commitment to diversity, equity, and inclusion.
Reasonable accommodations for individuals with disabilities during the hiring process.

Hiring process

Interviews may be recorded, transcribed, and summarized by AI with opt-out option.
Collection of personal information for evaluation purposes only.
Prompt deletion of interview recordings after hiring decisions.