Research Scientist
The Allen Institute for AI
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Posted:
April 20, 2023
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Remote
About the position
AI2 is seeking a Research Scientist to join their Semantic Scholar Research team. The team focuses on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar's mission of accelerating science. The Research Scientist will conduct high-impact research, lead research projects, and author scientific papers for publication in high-profile computing conferences and journals. They will collaborate with team members across AI2, mentor early-career researchers and interns, implement and share open source software to improve access to research, and help develop collaborative relationships with relevant organizations. The ideal candidate will have a PhD in Computer Science or related field, with specific focus in one or more of the team's active research areas, and a strong publication record in AI-related areas. Strong software engineering skills and experience with deep learning frameworks are also required.
Responsibilities
- Conduct high-impact research, lead research projects, and author scientific papers for publication in high-profile computing conferences and journals.
- Collaborate with and learn from team members across AI2, including scientists and engineers.
- Mentor early-career researchers and interns on their projects.
- Implement and share open source software to improve access to our research.
- Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.
Requirements
- One year or less from completing your PhD, or already have a PhD in Computer Science or related field, with specific focus in one or more of our team’s active research areas.
- A strong publication record in AI-related areas. Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML. Contributions to research communities (e.g. workshop organization, tutorials) are a plus.
- Strong software engineering skills. Experience with deep learning frameworks (e.g. PyTorch, Tensorflow). Contributions to open-source research libraries (e.g. AllenNLP, spaCy) are a plus.