• Strong programming skills in Python and a solid foundation in algorithms and software engineering.
• Familiarity with machine learning concepts and an interest in language models and AI.
• Strong analytical and problem-solving skills, demonstrated through academic work, personal projects, open-source contributions, or internships.
• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, or a related field, or equivalent practical experience.
• What sets you apart
• What sets you apart
• Experience with LLM post-training, reinforcement learning, or fine-tuning.
• Experience with agentic systems, planning, or reasoning frameworks.
• Familiarity with algorithms, mathematical optimisation, or evolutionary methods.
• Experience with PyTorch, JAX, or modern LLM tooling.
• Experience building evaluation frameworks or experimentation infrastructure.
• Contributions to open-source projects or academic research.
• We offer competitive compensation and a stimulating work environment, with the opportunity to contribute to the future of AI.
• Outstanding interns may be considered for a full-time Machine Learning Engineer position upon completion of the internship.