Machine Learning Research Engineer

Role: Machine Learning Research Engineer focused on developing AI tools for psychological wellbeing using large language models (LLMs). Responsibilities: design, develop, and deploy ML applications, collaborate with psychological experts, advance context engineering and AI learning from human feedback, build scalable data pipelines, integrate ML systems into real-world outcomes, and communicate findings across disciplines. Requirements: Master's or higher in CS, ML, or AI preferred; strong foundation in deep learning, NLP, and experience deploying LLMs using frameworks like PyTorch, vLLM, LangGraph; proficiency in Python and data pipelines; publication record at top ML/NLP venues is a plus. Preferred qualifications include experience in startups and publications. High-value specifics: focus on AI applications in psychological health, leveraging state-of-the-art models, with a collaborative environment involving scientists and engineers. Location: not specified; likely hybrid or remote, with a focus on innovative AI research.