TL;DR

Software Development Engineer Internship (Machine Learning): Developing and optimizing ML models for massive-scale production deployment with an accent on designing efficient ML pipelines and MLOps infrastructure. Focus on implementing solutions for real-time inference, distributed training, and integrating cutting-edge ML solutions into products used by millions.

Location: Onsite in Luxembourg or other EMEA locations including France, Germany, Italy, Poland, Romania, Spain, and the UK. Please note these are not remote positions.

Company

%hirify_global% is a multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

What you will do

Develop and optimize ML models for production deployment at massive scale.
Design and implement efficient ML pipelines and data processing systems.
Create and enhance evaluation frameworks for model performance.
Build and maintain MLOps infrastructure and tools.
Contribute to the development of innovative prompting and retrieval strategies.
Implement solutions for real-time inference and model serving.
Work on large-scale distributed training systems.

Requirements

Must be 18 years of age or older.
Currently enrolled in or completed a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields.
Expected graduation between October 2026 - September 2029.
Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
Demonstrated experience with data structures implementation, basic algorithm development, or object-oriented design principles.

Nice to have

Experience with Deep Learning (C++ or Python, AI, Neural Network, Tensorflow, PyTorch).
Previous technical internship(s) or demonstrated project experience.
Experience with cloud platforms (preferably AWS) or database systems (SQL and NoSQL).
Strong problem-solving and analytical skills.
Excellent written and verbal communication skills.

Culture & Benefits

Paired with both a manager and a mentor who will guide your development.
Opportunity to attend team stand-ups and technical design reviews.
Chance to learn about cutting-edge ML technologies and best practices.
Contribute to real AI products used by millions of customers.
Work in a fast-paced, innovation-driven environment.