Research Intern

**About the Role** ================== As a **Research Intern** at **NeoCognition**, you'll explore novel ideas and work on longer-term research bets that push the boundaries of **LLM agents**. This internship is designed for those who want to dive deep into open research problems — from reasoning and planning to multi-agent coordination and evaluation. You'll have the freedom to pursue high-risk, high-reward directions that may not be tied to immediate product needs, but could shape the future of agentic AI systems. Your work will culminate in **research prototypes** and, ideally, **publications** that contribute to the broader AI research community. You'll collaborate closely with our research scientists and engineers, receiving mentorship and feedback as you design experiments, build prototypes, and analyze results. **Responsibilities** ==================== * Explore novel research directions in areas such as **LLM reasoning, planning, tool use, multi-agent systems,** or **evaluation methodologies**. * Design and execute **exploratory experiments** to test new hypotheses and push the boundaries of what agentic systems can do. * Build **research prototypes** that demonstrate new capabilities or insights, even if they are not immediately production-ready. * Collaborate with the research team to **document findings, analyze results, and iterate on ideas**. * Work toward **publishing research outcomes** in top-tier AI venues (NeurIPS, ICLR, ICML, ACL, etc.) or contributing to open-source efforts. * Participate in team discussions, paper readings, and brainstorming sessions to shape the research roadmap. **Qualifications** ================== **Required:** ------------- * Currently pursuing or recently completed a **PhD, Master's, or advanced undergraduate degree** in machine learning, computer science, or a related field. * Strong foundation in **machine learning** and **natural language processing**, with demonstrated interest in **large language models** or **agentic AI systems**. * Proficiency in **Python** and familiarity with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow). * Ability to **design, implement, and analyze research experiments** independently and collaboratively. * Strong written and verbal communication skills, with a passion for sharing ideas and learning from others. **Nice to have:** ----------------- * Prior research experience or publications in **AI, NLP, or related areas**. * Experience with **open-weight models**, **fine-tuning**, or **reinforcement learning**. * Familiarity with **agent frameworks, tool-use systems,** or **evaluation benchmarks**. * Interest in **long-term research bets** and comfort with ambiguity and exploration.