About Happify Health

Happify Health is a LifeTech company whose mission is to improve access to mental, physical and chronic care through a single digital self-care platform while driving mass-market adoption of Digital Therapeutics. We are a collective of scientists, researchers, clinicians, content creators and AI engineers united to solve some of humanity’s greatest health challenges. Our clinically-validated platform provides global access to one of the most comprehensive, evidence-based intervention catalogs available, resulting in better health and business outcomes for people and organizations.

About the Role

Happify Health’s Artificial Intelligence (AI) team utilizes natural language processing (NLP) and deep learning algorithms to develop the next generation of conversational agents in clinical applications. This role will join a nimble team of computer scientists and clinical psychologists, and will report directly to the Chief Artificial Intelligence Officer.

Responsibilities

• Use deep learning, machine learning, natural language processing, word embeddings, and statistical pattern recognition to develop algorithms for psychological, semantic, and emotional analysis of conversational input (text and voice).
• Assist in training and optimization a large number of natural language classifiers.
• Suggest and implement creative modeling and optimization solutions to address issues reported by users.
• Support the development of dialogue content authoring and testing systems.

Qualifications

• Strong educational background in data science, computer science, or equivalent, including hands-on data science projects and coursework in deep learning, machine learning, natural language processing, and statistical pattern recognition.
• Relevant industry experience in natural language processing and deep learning.
• Proficiency in building algorithms using Python environments, including TensorFlow, PyTorch, Theano, Keras, SciKit Learn.
• Experience working with transformer models, sequence models, and natural language classifiers.
• Experience developing algorithms under computational constraints, including memory and computation optimization.
• Strong coding skills in live product environments, going through full product life-cycle.
• Knowledge of dialog management algorithms (including reinforcement learning and inverse reinforcement learning) is preferred.
• Passion for psychology and/or mental health is strongly preferred.