Explicitly mentions 'vibe coding' as part of the team's approach and combines Gen AI research with rapid prototyping.
About the Role
Research Scientist at Abacus.AI focused on inventing new Generative AI techniques for large language models (LLMs), including tuning, evaluation frameworks, and reinforcement learning for agentic loops. The role emphasizes publishing research, writing production-quality code, and collaborating with product teams to integrate advances into Abacus.AI products.
Job Description
Role
Research Scientist responsible for developing new techniques in Generative AI that advance the capabilities of large language models (LLMs).
Key Responsibilities
- Research and develop novel LLM tuning techniques.
- Design and build LLM evaluation frameworks.
- Apply reinforcement learning methods to improve agentic loops.
- Publish research at top conferences and contribute to the academic community.
- Write code and collaborate closely with product teams to prototype and integrate research into products.
Requirements
- PhD, preferably in Artificial Intelligence or Machine Learning.
- Prior research experience with publications in relevant areas (LLM tuning, evaluation, RL for agents).
- Ability to write code and work with product teams to implement research outcomes.
Preferred Qualifications
- Experience publishing at top conferences and a proven research track record.
Notes
- Role emphasizes both research (theory and publications) and practical implementation (coding and product collaboration).