Applied Scientist Intern (AI)

Location: Madrid, Spain

Company

hirify.global is a global leader in location technology, providing advanced map data and navigation services for a wide range of applications.

What you will do

• Explore and experiment with ML/AI approaches for POI-domain problems including entity matching, address parsing, and data quality assessment.
• Implement and evaluate algorithmic solutions on large-scale real-world geospatial datasets.
• Design and execute experiments, analyze results, and provide implementation recommendations.
• Contribute to the development of data pipelines and tooling for model training and evaluation.
• Collaborate with Applied Scientists, Engineers, and Product stakeholders to integrate work into the team workflow.
• Document methodologies and findings to support internal knowledge sharing.

Requirements

• Currently enrolled in a Master's programme in Computer Science, Data Science, AI, ML, or a related field.
• Solid grounding in ML fundamentals, including supervised/unsupervised learning and feature engineering.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Proficiency in Python and experience with data manipulation libraries like pandas and NumPy.
• Analytical mindset with the ability to design experiments and interpret results critically.
• Interest in geospatial data, POI systems, or location intelligence.

Nice to have

• Familiarity with NLP or embedding-based methods (e.g., BERT, Sentence Transformers).
• Experience with Apache Spark.

Culture & Benefits

• Opportunity to work on production-scale data with direct business impact.
• Exposure to the full ML experimentation cycle from problem framing to evaluation.
• Collaboration within a cross-functional international team of scientists and engineers.
• Access to professional growth through hackathons, developer days, and learning programs.