Machine Learning Research Engineer

Role: Machine Learning Research Engineer focused on developing AI-based psychological tools leveraging large language models (LLMs). Objectives include designing, deploying, and refining ML applications to address wellbeing challenges, collaborating with psychological experts, and advancing state-of-the-art in context engineering, agentic AI, and human feedback learning. Responsibilities encompass building scalable pipelines for data collection and model deployment, integrating ML systems into practical applications, and communicating findings across disciplines. Qualifications: Master's or higher in CS, ML, or AI preferred; strong foundation in ML, deep learning, NLP; experience deploying LLM-based applications using frameworks like PyTorch, vLLM, and LangGraph; proficiency in Python, data pipelines, and evaluation protocols; excellent communication skills; ability to work autonomously in dynamic environments. Preferred: Publications in top ML/NLP venues, startup experience. High-Value: Focus on AI for psychological wellbeing, state-of-the-art LLM applications, interdisciplinary collaboration, in a fast-paced, innovative environment. Work setup and travel details are not specified.