Staff Machine Learning Engineer
Core
Lead the development and deployment of personalization systems (content recommendation, nudges, conversational AI) for Headspace's mental health platform.
Role type
Staff Machine Learning Engineer (Personalization)
Builds
Personalization systems including content recommendation, personalized nudges, notifications, and conversational AI memory for Headspace members.
Domain
Mental health technology / AI / Personalization
Deliverable
production ML models | product features
Required skills
Python, vector search, embedding models, recommender systems, supervised/unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems, scikit-learn, PyTorch, TensorFlow, spaCy, unit/integration testing, version control
Preferred skills
AWS (SageMaker, Lambda, S3, DynamoDB, IAM), clinical/healthcare ML applications, modern ML literature, scalable service implementation
Responsibilities
Lead development of recommender systems for meditation content and backend services; design and evolve AI systems from vision to production; partner with software engineers and product leads to build high-quality features.
Seniority
Staff, technical leadership & mentorship
