Principal Machine Learning Engineer

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. We are seeking a Principal Machine Learning Engineer to lead the development of complex, scalable AI models and applications from inception to production.

Requirements

• Master's of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience
• 8+ years of ML engineering experience in an academic or professional setting, programming in Python
• 8+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems
• 5+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)
• Experience with unit, integration, and end-to-end testing, version control
• Strong problem solving and communication skills and ability to influence across internal organizations
• Mentorship of junior engineers and contribution to DEIB initiatives

Benefits

• Comprehensive healthcare coverage
• Monthly wellness stipend
• Retirement savings match
• Lifetime Headspace membership
• Generous parental leave