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Staff Machine Learning Engineer

$203.5k - $299.3k
Full-time

Doordash

Responsibilities

  • Design, build, and productionize causal ML systems influencing marketplace decisions across DoorDash New Verticals.
  • Build uplift and heterogeneous treatment effect models for lifecycle value, promotions, retention, and reactivation.
  • Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions.
  • Connect experimentation, observational data, and ML decisioning to support better marketplace tradeoffs.
  • Design surrogate metrics and early indicators that preserve long-term marketplace health.
  • Translate causal models into production systems for ranking, targeting, budget allocation, inventory-aware discovery, and consumer growth.
  • Raise causal reasoning standards across ML teams and help evaluate and debug causal claims.

Requirements

  • Deep practical experience with causal inference, econometrics, experimentation, or causal ML.
  • Experience shipping production models or decision systems, ideally in high-scale marketplaces or related domains such as ads, recommendations, search, pricing, promotions, logistics, or fintech.
  • Strong judgment regarding randomized experiments, observational estimation, and model-based decisioning tradeoffs.
  • Experience applying methods such as doubly robust estimation, double machine learning, instrumental variables, difference-in-differences, CUPED, uplift modeling, contextual bandits, and off-policy evaluation.
  • Strong ML engineering ability to build reliable pipelines, train models, evaluate them rigorously, and partner with platform teams for production deployment.
  • Strong product judgment connecting causal methods to business decisions rather than only optimizing offline metrics.
  • Ability to collaborate with ML engineers, economists, data scientists, product managers, and business leaders.

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits and expense reimbursement
  • Commuter benefits match
  • Flexible paid time off/vacation for salaried roles
  • 80 hours of paid sick time per year for salaried roles
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance
  • Mental health program
  • National base salary range of $203,500–$299,300 USD
  • Equity grant opportunities
Vacancy posted 8 days ago
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