Applied ML Research Intern - Product Impact (Remote)

Skypher, Inc.; Paris; Hybride; EUR 30 000 - 45 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Swile meal vouchers

Nice office in the 2nd Arrondissement

Partial remote work, up to two days per week

Technical mentorship

Résumé du poste

A leading AI company in Paris is looking for a Machine Learning Research Intern to contribute to applied ML projects. You will improve retrieval and reranking systems, build evaluation workflows, and develop pipelines for real-world data. This role values scientific rigor and an experimental mindset, with direct mentorship from experienced engineers. Ideal candidates should have Python skills and a background in quantitative fields. Partial remote work is offered, along with competitive compensation and meal vouchers.

Qualifications

• Currently pursuing or recently completed a degree in a quantitative field.
• Solid Python skills and a foundation in machine learning, deep learning, and NLP.
• Interested in cybersecurity or motivated to learn about security in tech companies.

Responsabilités

• Improving retrieval, reranking, and RAG pipelines for product use cases.
• Building evaluation workflows for model and system performance.
• Fine-tuning LLMs for focused tasks.
• Developing document understanding on real-world data.

Connaissances

Python skills

Machine learning foundation

Deep learning

NLP

English proficiency

Formation

Bachelor’s or Master’s degree in a quantitative field

Fourth year of higher education in engineering school

Outils

PyTorch

Git

AWS

Description du poste

A leading AI company in Paris is looking for a Machine Learning Research Intern to contribute to applied ML projects. You will improve retrieval and reranking systems, build evaluation workflows, and develop pipelines for real-world data. This role values scientific rigor and an experimental mindset, with direct mentorship from experienced engineers. Ideal candidates should have Python skills and a background in quantitative fields. Partial remote work is offered, along with competitive compensation and meal vouchers.