Cambridge Research Intern - AI Code Generation for New Compute Experiences

Responsibilities:

• Enhancing code-generating language models through finetuning, in-context learning, and post-training techniques.
• Generating synthetic training and evaluation data for new use-cases.
• Applications of generative AI to data analysis, dynamic interface generation, and productivity tools such as Microsoft Excel and Word.
• Using insights from type systems, static analysis, program synthesis, and machine learning to debug and repair generated computations by LLMs.
• Invent technical solutions to enable new and better user experiences.
• Develop and evaluate prototypes in collaboration with our research and engineering teams.
• Write and present your findings in technical documents or research papers.
• Experience in LLM research in one or more of the following areas: code generation, semantic parsing, fine-tuning, reinforcement learning, synthetic data generation, neuro-symbolic programming, benchmarking and evaluation.
• Experience implementing new prototypes or conducting experiments using software development practices such as version control and code review.
• Interns are expected to be physically located in Cambridge UK.

Minimum Requirements:

• Must be enrolled in a PhD program in Machine Learning, Computer Science (or related discipline).

Preferred/Additional Qualifications:

• Strong communication skills, especially scientific writing and communication.
• Publications in relevant NLP, ML, PL conferences or journals is preferred (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, POPL, PLDI, OOPSLA).
• Ability to work in an interdisciplinary collaborative environment with people from different technical backgrounds.

Successful candidates will join us for spring/summer 2025 in Cambridge UK and must be able to start by 15 June 2025. This posting will be active for 30 days, and all candidates applying within this time are considered on an equal basis.