About Us
At OVHai LLM, we build large language models and design platforms and services around these models for specific use cases. We’re a tight-knit team of 15 researchers and engineers, united by curiosity and a shared drive to push the boundaries of what LLMs can do — from training and fine-tuning to rigorous evaluation and benchmarking.
Our team is genuinely diverse and multicultural, bringing together different backgrounds, perspectives, and ways of thinking. That mix is core to how we work: we believe the best research comes from teams that challenge each other’s assumptions and learn from one another every day.
We take our work seriously, but not ourselves. Expect a collaborative, low-ego environment, plenty of interesting debates, shared lunches, and lots of fun — alongside real opportunities to contribute to cutting-edge LLM research from day one.
The Interview Process
- A 15-minute introductory call with a senior researcher to discuss the role
- An interview and technical use case assessment with two members of our research team
- An HR interview to assess soft skills
- Debriefing session
Summary
- Internship supervised by the OVHai LLM Research team
- Internship of 6 months in Paris (fully on-site)
- Full time, 35 hours weekly
- Starting date: from October 2026
The Role
This internship is for a final-year student who wants to work on training frontier LLMs and is curious about the parts of the pipeline that determine how good a model ends up being. You will work directly with senior researchers and engineers on real problems. Your exact project will be defined together during the interview process, based on your background and the team’s needs: it could focus on pretraining/post-training data, or on building simulation environments to train and evaluate agents.
What You Will Do
- Run and extend our evaluation suite: integrate new benchmarks, build small domain-specific test sets, and analyse model failures to understand what went wrong.
- Contribute to internal tools, dashboards and documentation.
At the end of the internship, you will present your findings to the team.
What We Look For
- Currently in the final year of an engineering programme or a Master’s degree in computer science, machine learning, applied mathematics or a related field, and looking for an end-of-studies internship.
- Solid Python. You write code other people can read, and you know how to use git.
- Comfortable with Linux, the command line and working on remote machines.
- Curiosity, rigour when looking at data, and the ability to say “I don’t know, let me check”.
- Proficient in both English and French (written and spoken).
Nice to Have
- A previous internship, project or thesis in NLP, LLMs or ML systems.
- Familiarity with evaluation tooling (lm-eval-harness) or with vLLM for fast inference.
- Some exposure to RL (a course, a project, a GRPO notebook).
- A GitHub, a blog post or a Kaggle / Hugging Face profile that shows what you like to build.
What You Will Get
- Direct mentorship from senior researchers working on frontier LLMs.
- An interesting project with a concrete outcome, and the possibility of continuing with the team afterwards.
Benefits
- Tickets restaurant
- Working in an innovative and supportive environment at the forefront of AI developments!
How to Apply
Interested? Send your CV, a short motivation letter, and a link to your LinkedIn profile to hr@llm.ovhai.com — please include the reference (R-X01 – Research Intern, LLM Evaluation) in your subject line so we can route it to the right team quickly.