
Principal Machine Learning Engineer
Lead technical vision and delivery of scalable ML models and language-based applications at Headspace, shape the internal ML platform, partner with cross-functional teams, and mentor engineers. Required: Master's degree or equivalent, 8+ years ML engineering experience, Python, experience with vector search, embeddings, recommender systems, supervised/unsupervised/deep/reinforcement learning, LLM orchestration/RAG, and modern ML/NLP libraries (scikit-learn, PyTorch, TensorFlow, spaCy). Preferred: PhD, clinical/healthcare ML experience, familiarity with current ML literature and scalable service implementation, and AWS experience (SageMaker, Lambda, S3, DynamoDB, IAM). Position is full-time, US-based (preferred locations: San Francisco hybrid; New York City and Seattle remote). Salary range listed: $162,000–$225,000 (USD, annual) with a higher location-based range for some cities.












