Doctorate in relevant field AND 2+ years related-research experience
OR equivalent experience.
At least 2 AI-related publications in top-tier machine learning, programming language, HCI, software engineering or relevant venues (e.g. AAAI, NeurIPS, ICML, ICLR, EMNLP, NAACL, ACL, POPL, PLDI, OOPSLA, ICSE, FSE, CHI, UIST, and comparable).
Ability to develop an original research agenda, demonstrated by leading at least one publication in a top-tier machine learning, programming language, software engineering, HCI or relevant venue.
At least 3 years of prior research experience in machine learning, programming language, software engineering, or human-computer interaction.
Preferred Qualifications:
Experience publishing academic papers as a lead author or essential contributor.
Experience participating in a top conference in relevant-research domain.
Experience working with large language models, including automated prompt tuning, fine-tuning, agents, planning, instruction-tuning and continued pre-training.
Experience in training transformer-based models (including collecting and curating training data) as part of research projects in an industrial or academic setting.
Experience with reinforcement learning and its applications to training LLMs.
Have interests in applying machine learning to software engineering or data handling and analysis tasks.
Hold previous industrial research internship positions.
Experience collaborating across multi-disciplinary or multi-role teams.
Strong communication skills.
Responsibilities
Design and carry out innovative AI research with applications to code and data platforms (e.g., Visual Studio and Excel).
Work with engineers and PMs to deploy your research to customers.
Collaborate with academic partners, mentor interns and longer-term .
Publish in top-tier academic venues and interact with the broader academic community.