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Senior Machine Learning Engineer, Causal & Decision Systems

CSC Generation· Engineering
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Hybrid (Austin, TX)Full-timePosted 2mo ago

About the role

Senior ML Engineer focused on building closed-loop causal decision systems for pricing and expanding into inventory, purchasing, promotions, marketing, and assortment. You will design and deploy systems that estimate causal effects, manage uncertainty, and optimize commercial decisions within operational guardrails.

Responsibilities

  • Causal and heterogeneous treatment-effect modeling
  • Uncertainty estimation and calibration
  • Contextual bandits, active learning, or sequential decision-making
  • Policy learning and constrained optimization
  • Counterfactual and off-policy evaluation
  • Experimentation and champion/challenger systems
  • Production ML infrastructure, monitoring, and automated deployment

Qualifications

  • Machine learning and statistical modeling
  • Causal inference and experimentation
  • Decision systems including pricing, recommendations, advertising, or marketplace domains
  • Bandits, reinforcement learning, optimization, or active learning
  • Uncertainty estimation
  • Counterfactual evaluation
  • Production ML systems
  • Python, SQL, and large behavioral datasets

Skills

Required:Machine learning and statistical modelingCausal inference and experimentationDecision systemsUncertainty estimationProduction ML systemsPython, SQL, and large behavioral datasets
Nice to have:Bandits, reinforcement learning, optimization, or active learningCounterfactual evaluation

Benefits

  • Comprehensive benefits including paid time off
  • 401(k) match
  • medical, dental, vision, supplemental coverage
  • employee discounts across portfolio brands
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About CSC Generation

AI Native Retail Future: Commerce AGI

CSC Generation is the AI-native retail holding company. We modernize iconic brands with data, automation and our Genesis platform to build the future of Commerce AGI.

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