Ml-Based User Simulation For Location Search Internship

TL;DR

Ml-Based User Simulation For Location Search Internship (Data Science/ML): Designing and implementing user simulation agents that model realistic search behavior, interacting with hirify.global’s Search APIs. Focus on refining and validating the simulation framework through collaboration with engineers, data scientists, and product teams.

Location: Amsterdam, The Netherlands

Company

hirify.global is a company focused on location technology.

What you will do

• Design and implement user simulation agents that model realistic search behaviour.
• Explore and compare different machine learning approaches for user simulation.
• Build simulation loops that interact with hirify.global’s Search APIs.
• Model user behaviours' including query reformulation, result selection, typeahead usage, and session abandonment.
• Benchmark simulated user sessions against anonymized historical data.
• Analyse search quality and behavioural metrics.

Requirements

• You are enrolled as a full-time MSc student for the entire duration of the internship.
• You have EU citizenship or are enrolled in a Dutch university (due to work permit regulations).
• You have a background in Computer Science, AI, Data Science, or a related field.
• You are available to start in February or March.
• Strong programming skills, preferably in Python.
• Basic knowledge of machine learning concepts and experimentation.

Nice to have

• Familiarity with LLM APIs (e.g. Open AI, Hugging Face) is a plus, but not required.
• A curious, analytical mindset and willingness to explore different technical approaches.

Culture & Benefits

• Collaborate with engineers, data scientists, and product teams.
• Contribute to reusable tooling and documentation.