Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation5 hours ago
San José, Costa RicaSenior
Responsibilities
- Build causal and heterogeneous treatment-effect models for commercial decision systems.
- Develop uncertainty estimation, contextual bandit, active learning, sequential decision-making, and policy-learning approaches.
- Design constrained optimization and counterfactual or off-policy evaluation systems.
- Build experimentation and champion/challenger systems to evaluate competing policies.
- Develop production ML infrastructure, monitoring, and automated deployment.
- Own problems end to end from framing and modeling through production deployment and evaluation.
Requirements
- Experience with machine learning and statistical modeling.
- Experience with causal inference and experimentation.
- Experience with decision systems such as recommendation, advertising, pricing, marketplace, or credit systems.
- Experience with bandits, reinforcement learning, optimization, or active learning.
- Experience with uncertainty estimation and counterfactual evaluation.
- Experience building production ML systems.
- Proficiency with Python and SQL and experience working with large behavioral datasets.
- Strong technical ability and judgment, with the ability to select appropriate methods rather than relying on a particular framework.
Benefits
- Primarily remote work, with a hybrid location listed in Toronto, Ontario.
- Private medical and life insurance.
- Additional paid time off.
- Monthly allowances and reimbursements.
- Employee discounts.
- Professional growth opportunities.
- The interview process includes a mandatory in-person interview, with a final on-site visit at the Costa Rica office.
Categories
About CSC Generation
CSC Generation is a Chicago-based holding company that acquires and restructures consumer retail brands, focusing on e-commerce and omnichannel operations. It runs an AI-driven operating platform and shared services to modernize merchandising, marketing, and supply chain, then operates the brands for profitability. Founded in 2016 and privately held, its portfolio has included Sur La Table and One Kings Lane, and it expands primarily through M&A.