Prosus
AI Research Intern - LLMs, Causal Inference & Decision Making
Salary not disclosedOnsite
- Amsterdam
- Internship
- Today
About the role
This internship focuses on building and experimenting with LLMs, representation models, and modern ML systems to solve causal and decision-making problems. You will work with large-scale experimental data to design experiments, analyze randomized controlled trials, and develop constrained optimization models. The role involves prototyping research ideas and turning them into real-world systems that influence product decisions.
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
Required skills
- Mathematics
- Probability
- Statistics
- Python
- Machine Learning
- Causal Inference
- Experimental Design
- Optimization
Nice to have
- PyTorch
- JAX
- Econometrics
- Empirical Economics
- Operations Research
- Quantitative Finance
- Uplift modeling
- Treatment-effect estimation
Qualifications
- Currently enrolled at a university
- EU citizenship or currently studying in the Netherlands
Benefits
- Access to H200 GPU clusters
- Access to major LLM APIs
- MacBook Pro
- Free barista coffee
- NS travel card
About the Company
Prosus is a global technology company powering leading lifestyle ecommerce businesses across ecommerce, food delivery, fintech, and experiences. The company operates an AI-driven ecosystem serving billions of consumers worldwide and backs founders and technologies shaping the future.