Machine Learning Engineer Intern

The role

You will work at the intersection of AI research, software engineering, and optimisation. You will help develop and evaluate an AI discovery engine and experiment with agentic systems.

What you will do

• Research and implement techniques to improve reasoning, planning, and problem-solving of AI agents.
• Develop and experiment with agentic systems that collaborate to solve complex optimisation problems.
• Build evaluation frameworks and run experiments to measure and improve system performance.
• Develop tools and infrastructure to support efficient, reproducible experimentation.
• Collaborate with researchers and engineers to turn new ideas into working systems.

Required qualifications

• Strong programming skills in Python.
• Solid foundation in algorithms and software engineering.
• Familiarity with machine learning concepts.
• 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.

Nice to have

• 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.

Benefits

• Competitive compensation.
• Stimulating work environment.
• Outstanding interns may be considered for a full-time Machine Learning Engineer position upon completion of the internship.

About the company

Hiverge is building a platform that orchestrates thousands of AI research agents to discover new algorithms. The founding team is composed of researchers from Google DeepMind and the University of Cambridge.