Senior Machine Learning Engineer, Causal & Decision Systems

1 month, 3 weeks ago
Full-time
Senior
Software Development
CSC Generation

CSC Generation

CSC Generation is an AI native retail holding entity that revitalizes iconic brands through the use of data, automation, and its Genesis platform to shape the future of commerce in the age of artificial general intelligence.

Internet Software & Services
251-1K
Founded 2016

Description

  • Build systems that estimate causal response, quantify uncertainty, choose actions, and update policies from observed outcomes.
  • Develop and evaluate challenger policies using counterfactual and off-policy methods.
  • Work on causal and heterogeneous treatment-effect modeling for business decision-making.
  • Apply uncertainty estimation, calibration, and sequential decision-making methods such as contextual bandits or active learning.
  • Design policy learning and constrained optimization approaches that respect inventory, margin, vendor, customer, and operational constraints.
  • Support experimentation, champion/challenger systems, and controlled experiments that measure economic lift.
  • Contribute to production ML infrastructure, monitoring, and automated deployment.
  • Help create systems that learn from their own interventions and safely automate more commercial decisions over time.

Requirements

  • Strong technical ability and judgment are valued more than matching a checklist.
  • Experience in machine learning and statistical modeling.
  • Experience in causal inference and experimentation.
  • Experience with recommendation, advertising, pricing, marketplace, credit, or other decision systems.
  • Experience with bandits, reinforcement learning, optimization, or active learning.
  • Experience with uncertainty estimation.
  • Experience with counterfactual evaluation.
  • Experience with production ML systems.
  • Proficiency with Python, SQL, and large behavioral datasets.

Interested in this position?

Apply directly on the company website

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