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  3. Senior Machine Learning Engineer, AI Platform
Affinity logo

Senior Machine Learning Engineer, AI Platform

Affinity
Toronto, Ontario
Full Time
Posted February 11, 2026
CA$160k - CA$220k
Not Specified
~51 people viewed this recently
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Application opens on company website

Job Description

A Senior Machine Learning Engineer at Affinity is responsible for designing, developing, and deploying AI systems, including recommendation and ranking models, to extract insights from large-scale structured and unstructured data, supporting the company's relationship intelligence platform.

Key Responsibilities

  • Design, develop, and deploy machine learning models and systems from ideation to production.
  • Translate business requirements into scalable and robust ML solutions.
  • Build and optimize recommendation and ranking systems, including infrastructure from scratch.
  • Work on information extraction, storage, and retrieval problems for structured and unstructured data.
  • Collaborate with cross-functional teams to develop high-scale data processing and ML operations systems.

Requirements

  • At least 5 years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.
  • Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank and explainable recommendations.
  • Strong understanding of machine learning techniques, including clustering and decision trees.
  • Experience with serving ML models for streaming and batch inference at scale.
  • Experience with vector or graph databases.
  • Proficiency in Python and modern ML frameworks such as PyTorch, Scikit-learn, or similar.
  • Track record of building maintainable, testable, and production-grade codebases.
  • Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications.

Benefits & Perks

Health benefits covering both employee and dependents, including flexible personal sick days
Retirement planning through an RRSP plan
Annual education budget and comprehensive learning and development program
Wellness support with monthly reimbursements for home internet, meals, and wellness memberships
Team connection activities including virtual team-building activities and socials
Salary range of approximately 160,000 to 220,000 CAD

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