Research Scientist, Agents for Science
Leads foundational research on agentic AI systems for scientific reasoning, including literature synthesis, hypothesis formation, coding, experiments, and data analysis. Requires PhD in ML/NLP/reasoning with expertise in language models or reinforcement learning.
About the job
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.
Requirements
- PhD focusing on machine learning, reasoning, natural language processing, or a related area, with expertise in one or more of: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning.
- Ability to own and pursue a research agenda to improve AI model reasoning capabilities.
- Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals.
Nice-to-Haves
- Experience leading a team to solve analytical problems.
- Contributions to open-source research libraries and an interest in continuing such work.
Compensation
Base salary range: $167,030 - $260,570, plus generous bonus plans.
Skills
Machine Learning, Reinforcement Learning, Natural Language Processing, Language Models, Deep Learning, Agentic Systems, Generative AI, Pomdps, Scientific Reasoning, Open Source
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