Affinity.co logo
Affinity.co

The CRM for Deal Makers. Relationship Intelligence, Reimagined.

Senior Machine Learning Engineer, AI Platform

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 201-500Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

121 days ago

Salary

$160K - $220K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishPythonPyTorchScikit-Learn

Job Description

Senior Machine Learning Engineer, AI Platform

Affinity.co

• Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation. • Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements. • Build recommendation and ranking systems: Architect and launch ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term. • Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. • Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Job Requirements

  • 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, 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 (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

  • Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
  • Retirement Planning: We offer an RRSP plan to help you plan for your future.
  • Learning & Development: We provide an annual education budget and a comprehensive L&D program.
  • Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
  • Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

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