Staff ML Engineer — Real-Time Ad Tech, Hybrid (Toronto)

Tubi Tv; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

A leading streaming service based in Toronto is seeking a Staff ML Engineer to build and scale its machine learning infrastructure. This role includes designing low-latency ML systems for ad delivery and optimizing real-time bidding processes. The ideal candidate will have over 8 years of experience in ML, proficiency in Python and ML frameworks, and a solid background in MLOps. A hybrid work model is offered.

Benefits

Vacation and sick time

Flexible time-off policy

Generous parental leave program

Monthly wellness reimbursement

Qualifications

• 8+ years in ML or data engineering roles.
• 2+ years in high-scale, real-time systems.
• Experience deploying ML systems with sub-100ms latency.

Responsibilities

• Design and deploy low-latency ML pipelines.
• Build scalable systems for forecasting.
• Mentor senior and junior engineers.

Skills

Proficiency in Python

Experience with TensorFlow/PyTorch

MLOps knowledge

AWS familiarity

Ability to translate business goals to model outcomes

Tools

Airflow

Spark

MLflow

Kubernetes

Job description

A leading streaming service based in Toronto is seeking a Staff ML Engineer to build and scale its machine learning infrastructure. This role includes designing low-latency ML systems for ad delivery and optimizing real-time bidding processes. The ideal candidate will have over 8 years of experience in ML, proficiency in Python and ML frameworks, and a solid background in MLOps. A hybrid work model is offered.