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Tubi

Machine Learning Engineer – Staff, Principal

Tubi

Staff Machine Learning Engineer contributing to video personalization projects at Tubi. Designing and implementing advanced algorithms while collaborating with cross-functional teams.

Posted 7/27/2026full-timeToronto • 🇨🇦 CanadaLead💰 CA$168,000 - CA$307,000 per yearWebsite

Tech Stack

Tools & technologies
PyTorchTensorflow

About the role

Key responsibilities & impact
  • Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
  • Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
  • Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
  • Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
  • Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Requirements

What you’ll need
  • 8+ years of industry experience building production Machine Learning systems
  • MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
  • Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
  • Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
  • Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
  • Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

Benefits

Comp & perks
  • Medical/dental/vision
  • Insurance
  • Vacation/paid time off
  • Annual discretionary bonus
  • Long-term incentive plan
  • Flexible Time Off Policy
  • Generous Parental Leave Program
  • Monthly wellness reimbursement