Staff Machine Learning Engineer (Toronto)

About The Role

As a Staff ML Engineer at AdRise, you’ll play a hands-on leadership role in building and scaling our machine learning infrastructure. You’ll design real-time ML systems that power auction dynamics, yield optimization, identity resolution, and forecasting—all under strict latency constraints. Working alongside the Director of ML and a growing team, you’ll help shape the technical roadmap and bring new models to life in production environments at massive scale.Responsibilities

Design and deploy low-latency ML pipelines for real-time bidding and ad delivery Build scalable systems for forecasting, yield optimization, and media planning Collaborate with data engineering teams to integrate third-party data and behavioral signals Drive experimentation through A/B testing and continuous model optimizationDefine architecture standards and tooling for MLOps, retraining workflows, and model monitoring Mentor senior and junior engineers across ML engineering best practices Evaluate third-party tools and platforms to inform build-vs-buy decisions Own performance metrics tied to business impact: eCPM, ROAS, fill rate, etc.Qualifications

8+ years in ML or data engineering roles, with at least 2+ years in high-scale, real-time systems Proficiency in Python, TensorFlow/PyTorch, and production ML tooling (e.g., Airflow, Spark, MLflow) Experience deploying ML systems with sub-100ms latency in adtech or streaming contexts Strong background in MLOps: retraining workflows, model versioning, pipeline orchestrationFamiliarity with AWS, Kubernetes, and CI/CD frameworks Ability to translate business goals into measurable model outcomes Nice to Have, but Not a Dealbreaker

Prior experience in adtech or AVOD platforms Familiarity with identity resolution, lookalike modeling, and auction theory Exposure to tools like Snowflake, LiveRamp, or AWS Clean Rooms Pay range: $250,000.00 - $324,000.00 CAD annually (Toronto, Canada). This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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