Machine Learning Research Engineer
Core
Design, develop, and deploy ML-powered applications leveraging large language models (LLMs) to address complex challenges in human psychological fitness and wellbeing.
Role type
Machine Learning Research Engineer (IC)
Builds
LLM-based systems and scalable data pipelines for psychological tools
Domain
AI/ML applied to mental health and wellbeing
Deliverable
production ML models
Required skills
machine learning, deep learning, natural language processing (NLP), reinforcement learning from human feedback, supervised fine tuning, context engineering, agentic AI, Python, PyTorch, vLLM, LangGraph, large-scale data pipelines
Preferred skills
publications at top ML/NLP venues (NeurIPS, ICML, ACL, EMNLP), experience in previous startups
Technologies
PyTorch, vLLM, LangGraph, Python
Responsibilities
Design and deploy ML applications using LLMs; collaborate with psychological experts to translate insights into computational frameworks; advance state-of-the-art in context engineering and learning from human feedback; build scalable pipelines for data collection, labeling, training, and deployment; integrate ML systems into real-world applications; communicate findings to multi-disciplinary audiences
Seniority
Mid-to-Senior, hands-on IC