Ai2 is seeking to improve NLP systems' performance and accountability, and advance scientific methodologies for evaluating and understanding those systems through the development of open language models, specifically the OLMo project.
Requirements
- Pursuing a degree in Computer Science or similar field with research experience in machine learning, natural language processing, language and vision, or related areas
- Strong software engineering skills, especially with deep learning frameworks (e.g. PyTorch)
- A strong publication record at AI-related venues, such as NeurIPS, ICLR, ICML, COLM, ACL, EMNLP
- Research experience in related areas like training dynamics, scaling laws, efficiency, data curation, post-training methods (e.g., DPO, PPO, RL), among others
- Contributions to open-source research libraries (e.g. OLMo, Dolma, Huggingface, AllenNLP)
- Experience with natural language processing and machine learning
- Familiarity with open-source software development
Responsibilities
- Define and lead a high-impact research project
- Train and release leading models
- Collaborate with and learn from team members across Ai2
- Build open-source software for the research community
- Author scientific papers for publication in a high-profile conference or journal
- Contribute to the development of the OLMo project
- Participate in open collaboration on intern projects, even with researchers at external institutions
Other
- Must be able to remain in a stationary position for long periods of time
- The ability to communicate information and ideas so others will understand
- The ability to observe details at close range
- Can work under deadlines
- Pursuing a degree in Computer Science or similar field
