Research Scientist

Description:

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

Your Next Challenge:

Research Scientists on our team contribute to AI2's impact-driven mission in an exciting, fast-paced research environment.

The essential functions include, but are not limited to the following:
 

• 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, and
• Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.
   

What You’ll Need:
 

• 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..