Senior Machine Learning Engineer, Causal & Decision Systems

Posted 9 hours ago

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About the role

  • Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI-native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.

Responsibilities

  • Build closed-loop decision systems using machine learning to operate consumer businesses more intelligently
  • Develop systems for causal response estimation, uncertainty quantification, action selection, information generation, outcome observation, policy updates, challenger evaluation, and guarded deployment
  • Work across causal and heterogeneous treatment-effect modeling, uncertainty estimation and calibration, contextual bandits, active learning, sequential decision-making, policy learning, constrained optimization, counterfactual and off-policy evaluation, experimentation, champion/challenger systems, and production ML infrastructure
  • Produce measurable economic lift in controlled experiments
  • Build systems that generalize across businesses, learn from interventions, and safely automate commercial decisions
  • Own problems end to end, from framing and modeling through production deployment and evaluation
  • Report to the CTO
  • Participate in recruiter screening, virtual interview rounds, an in-person interview at the Costa Rica office, and reference checks

Requirements

  • Experience in several of: machine learning and statistical modeling; causal inference and experimentation; recommendation, advertising, pricing, marketplace, credit, or other decision systems; bandits, reinforcement learning, optimization, or active learning; uncertainty estimation; counterfactual evaluation; production ML systems
  • Proficiency with Python and SQL
  • Experience working with large behavioral datasets
  • Exceptional technical ability and judgment
  • Valid LinkedIn profile URL, or a credible reason and alternative evidence of professional background if no LinkedIn profile
  • Must attend a mandatory in-person interview before an offer

Benefits

  • Primarily remote work
  • Private medical and life insurance
  • Additional paid time off
  • Monthly allowances and reimbursements
  • Employee discounts
  • Opportunities for professional growth

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

PythonSQL

Location requirements

HybridTorontoCanada

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