Developing foundational AI research and innovation to deliver real-world impact through large-scale open models, data, and artifacts.
Requirements
- Expertise in one or more of the following: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning
- Experience with machine learning, reasoning, natural language processing, or a related area
- Contributions to open-source research libraries and an interest in continuing such work
- Experience leading a team to solve analytical problems
- Ability to own and pursue a research agenda to improve AI model reasoning capabilities
Responsibilities
- Contribute to Ai2’s open source research environment to innovate, study and advance the science of generative AI and agentic systems.
- Take a leading role in building artifacts and implementing software systems with real-world impact
- Author and present high-quality scientific technical reports, papers, and presentations
- Collaborate with and learn from team members across Ai2, including scientists and engineers
- Mentor early-career researchers and interns on their projects
- Develop collaborative relationships with relevant academic, industrial, government, and standards organizations
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
- A PhD focusing on machine learning, reasoning, natural language processing, or a related area
- Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals
