AI Research Intern: Causal ML & LLMs (Amsterdam)

US Health Partners, LLC; Amsterdam; On-site; EUR 12,000 - 20,000; Full time

Benefits offered by this job

NS travel card

Great workspace in Amsterdam

Job summary

Prosus is offering an internship in Amsterdam focused on AI, causal inference, and real-world decision making. You will explore LLMs, representation models, and modern ML systems to solve causal and optimization problems.

This program targets students with strong math, ML fundamentals, and Python coding skills, and is designed for 6–12 months with a minimum of three days in the Amsterdam office.

Qualifications

• Strong in mathematics, probability and statistics.
• Strong quantitative modeling fundamentals.
• Understand causal and experimental reasoning.
• Interested in optimization and decision making.
• Know how to write good Python code.
• Comfort with modern AI and ML systems (neural nets, transformers).
• Experience with PyTorch/JAX is a plus.

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 user responses to 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 them into real systems.

Skills

Mathematics

Probability & Statistics

Quantitative modeling

Causal inference

Python

Machine learning fundamentals

Team collaboration

Learning new tech

English communication

Education

Bachelor student

Tools

PyTorch

JAX

LLM APIs

Job description

Prosus is offering an internship in Amsterdam focused on AI, causal inference, and real-world decision making. You will explore LLMs, representation models, and modern ML systems to solve causal and optimization problems.

This program targets students with strong math, ML fundamentals, and Python coding skills, and is designed for 6–12 months with a minimum of three days in the Amsterdam office.