Microsoft
Cambridge Research Intern – AI Code Generation for New Compute Experiences
Job Description
We are Interested in a Broad Range of Areas
- 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 Microsoft Excel and Word.
- Using insights from type systems, static analysis, program synthesis and machine learning to debug and repair generated computations by LLMs
Responsibilities
- 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.
Qualifications
Required/Minimum Qualifications:
- Must be enrolled in a PhD program in Machine Learning, Computer Science (or related discipline).
- 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.
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.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.