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Amsterdam
1 week ago
(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making logo

(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making

Prosus

Amsterdam
1 week ago
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(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making

AI Research Intern role at Prosus in Amsterdam, focused on applying LLMs and modern machine learning to causal inference and decision-making problems at scale. Requires strong quantitative modeling fundamentals, Python skills, and a 6-12 month commitment with at least 3 days per week on-site.

Core AIOn-siteContractInternshipPythonMathematics

(MSc/PhD) AI Research Intern - LLMs, Causal Inference & Decision Making

AI Research Intern role at Prosus in Amsterdam, focused on applying LLMs and modern machine learning to causal inference and decision-making problems at scale. Requires strong quantitative modeling fundamentals, Python skills, and a 6-12 month commitment with at least 3 days per week on-site.

Apply
Core AIOn-siteContractInternshipPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site, minimum 3 days in the office weekly

Employment Type

Contract

Experience Level

Internship

Contract Length

12 months

Core Qualifications

Technical (Must-have)
PythonMathematicsProbabilityStatisticsCausal InferenceExperimental ReasoningOptimizationDecision MakingNeural NetworksRepresentation LearningTransformersLLMs
Soft Skills
CollaborationCuriosityLearning AgilityCommunication

Preferred Qualifications

Technical (Nice-to-have)
PyTorchJAXEconometricsEmpirical EconomicsOperations ResearchQuantitative FinanceUplift ModelingTreatment-Effect EstimationMathematical OptimizationS/T/X-learnersCausal ForestsCausal DAGsPotential OutcomesLinear OptimizationInteger OptimizationLagrangian/Dual MethodsStochastic Optimization

Key Responsibilities

  • •Build and experiment with LLMs, representation models, and modern ML systems for causal and decision-making problems
  • •Work with large-scale experimental data to understand how users respond to different interventions
  • •Build models for treatment effects, uplift, and counterfactual prediction
  • •Design experiments, analyze randomized controlled trials, and evaluate results
  • •Develop constrained optimization models for promotion and incentive allocation
  • •Read research papers, prototype ideas, and turn the ones that work into real systems
AI Research InternLLMsCausal InferenceDecision MakingMachine LearningInternshipAmsterdamTechnologyPythonOptimization
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