Hiverge
Research Engineer Intern
7mo ago
EuropeTraineepythonpytorchjaxllminferencefine-tuning
Research Engineer Intern role focused on designing, training, and evaluating LLM-centric systems with responsibilities including implementation, experimentation, and benchmarking.
About the company
- At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.
- Our founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.
- If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.
Requirements
- Masters degree in Computer Science, Engineering, related field, or equivalent experience.
- Strong coding skills in Python and experience with PyTorch/JAX and modern LLM tooling for inference and fine‑tuning.
- Experience in applied research engineering, demonstrated by impactful academic projects or internships in LLMs, search/RL, or compilers/verification.
- Exposure to evaluation frameworks, unit/property‑based testing, and performance profiling.
Other
- This role designs, trains, and evaluates LLM‑centric systems. The work blends implementation, experimentation, and benchmarking.
- As a Research Engineer Intern you will:
- Support the development of scalable experimentation foundations with strong reproducibility and observability
- Help create and improve robust prompt and code-selection tooling.
- Assist in optimizing our system’s inference and infrastructure for better efficiency.
- Work with the team (ML engineers and researchers) to implement new ideas.
- Engage with the research community to advance the state of algorithmic discovery.
- Contributions to open research or community tooling.
- Familiarity with algorithm design, and practical understanding of reinforcement learning, evolutionary methods and optimization methods.
- We offer competitive compensation and a stimulating work environment, with the opportunity to contribute to the future of generative AI. Outstanding interns may be considered for a full-time Research Engineer position upon completion of the internship.