Cambridge Machine Intelligence Intern

As part of an ambitious collaborative project, you will

• Research and Develop novel Machine Learning models and algorithms.
• Design, implement and evaluate machine learning experiments.
• Write and present your findings in technical documents or papers.
  
  Be enrolled in a PhD program in Machine Learning, Statistics, Computer Science (or related discipline).
• Deep experience in one or more of the following: LLMs (training, inference, architectures, chain-of-thought, prompt-tuning), Flow or Diffusion Models (continuous or discrete), Quantization methods, Reasoning, Knowledge Representation, ML Optimization.
• Interns are expected to be physically located in Cambridge UK.
Preferred A subset of the following:
• Strong communication skills, especially scientific writing and communication.
• Publications in relevant conferences (e.g. NeurIPS, ICML, ICLR), or high-profile scientific journals.
• Ability to code in Python, as well as familiarity with Git and code reviews.
• Ability to work in an interdisciplinary collaborative environment with people from different technical backgrounds.