PhD & MSc Position (Working Student, Thesis, Internship)

Nabla; Paris; Sur place; EUR 18 000 - 24 000; Temps partiel

Résumé du poste

Nabla in Paris, Nouvelle-Aquitaine is seeking passionate students for roles integrating and optimizing machine learning compression methods. Internships and working student positions are available for at least 6 months, providing experience in cutting-edge AI projects while accommodating academic schedules.

The ideal candidates will have a B.Sc. in computer science, foundational machine learning knowledge, and proficiency in PyTorch and Python. Strong communication and collaborative skills are essential.

Qualifications

• Completed B.Sc. essential for applying.
• Coursework in deep learning with transcripts required.

Responsabilités

• Implement machine learning compression methods from research.
• Integrate and adapt compression methods into the tool.
• Test to ensure reliability of the compression tool.

Connaissances

Machine learning algorithms

PyTorch

Python programming

Communication skills

Creativity and collaboration

Formation

B.Sc. in computer science or related fields

Coursework in machine learning/deep learning

Description du poste

Role Description

As a student with Pruna AI, you will be instrumental in integrating, optimizing and developing cutting‑edge machine learning compression methods. We are looking for talented students who are passionate about AI and sustainability. These positions would be for a period of at least 6 months. Your responsibilities will include:

Compression research and integration

• Understand and implement compression methods from open‑source projects and research papers
• Integrate these methods into our compression tool, ensuring they are user‑friendly and effective
• Adapt and extend successful methods to support various architectures and use‑cases
• Conduct thorough testing to ensure the reliability and robustness of the compression tool

People you will work with

• ML Research Engineers: Collaborate on refining, implementing, and combining compression methods
• MLOps Engineers: Scale your work, manage experimentation setups, pipelines, and testing environments

Collaboration formats

• Working student: Gain hands‑on experience while continuing your studies, with flexible hours to accommodate your academic schedule.
• Internship: Immerse yourself full‑time in cutting‑edge AI projects, contributing significantly to real‑world solutions while learning from industry professionals.
• Master Thesis: Conduct in‑depth research on machine learning compression, supported by our team. The goal is to openly contribute to the community with high research impact.

Skills and qualifications

Educational background or experience

• A completed B.Sc. in computer science or related fields
• Completed coursework on machine learning and/or deep learning – Please make sure to include your university transcripts in your application!

Machine Learning expertise

• Foundational knowledge in machine learning algorithms
• Experience with the PyTorch deep learning framework
• Experience with the Python programming language
• Ability to read, understand, reimplement and critique research publications

Personal attributes

• Strong communication skills to convey complex research ideas
• Creative, collaborative, and innovation‑focused
• Strong sense of project ownership and personal responsibility
• Passionate about making AI accessible to everyone

It is a plus if you have

• Experience with or coursework about compression methods like quantization, pruning, and compilation

We’d love to hear from you — even if you don’t meet 100% of the requirements.