AI / Data Scientist (AI, NLP, ML)

Role overview Apply machine learning and natural language understanding to a large, human-supervised dataset of peer support conversations, moods, and resource matches. The role combines model development with analysis of user interactions to inform product and business decisions, with an expectation of helping lead and grow the team.

Responsibilities - Analyze user interactions to surface insights for product development and business decisions. - Develop and evaluate deep learning and natural language understanding models. - Deploy models to production, monitor their performance, and retrain them as needed. - Apply AI to practical business problems in a mental and emotional well-being service. - Lead projects and contribute to growing the team.

Requirements - At least 2 years of postgraduate experience in deep learning and natural language understanding. - At least 1 year leading teams and delivering successful projects. - A master’s degree in deep learning, NLP, or a related field applying NLP/NLU; a PhD is preferred. Publications in leading journals or conferences are expected. - Strong knowledge of modern NLU methods, including transformers and foundational language models. - Experience with NLP tools such as NLTK, spaCy, scikit-learn, PyTorch, or Hugging Face. - Experience with cloud computing and the full model lifecycle, from evaluation through production monitoring and retraining. - Strong analytical, communication, and interpersonal skills.

Benefits and work setup - Remote work within US time zones, with flexible work arrangements and time off. - Full-time US-based employees receive health, vision, and dental coverage for themselves and dependents, plus a vested 401(k) match. - Competitive compensation, with equity for eligible roles. - Learning and development budget, team gatherings, and access to the service’s peer support offering.