Senior Machine Learning Engineer, Headspace Health

• MS or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience
• 5+ years of ML engineering experience in an academic or professional setting
• 3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)
• 3+ 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
• 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

Desirable

• 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
• These applications include building conversational AI systems, healthcare assistance tools, and recommendation and personalization systems. In this team, you’ll be tasked with owning and delivering cutting edge language-based ML applications that will power the core features of Headspace
• You’ll have the opportunity to lead the vision, alignment, development, deployment, and evangelization of these solutions, helping to bring Headspace to the forefront of AI and to realize its mission to improve health and happiness of the world
• Lead the development of complex, scalable AI models and applications from inception to production
• Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare
• Provide technical leadership and be a role model for those pursuing technical career path in AI/ML engineering
• Contribute to an engaged, inclusive technology community that values diversity and equity
• Promote the development of high-quality code through engagement in code review and constructive feedback
• Increase internal and external company visibility in the AI community through open source, talks/presentations, etc

• If you’re excited by the idea of seeing yourself in this role at Headspace, please apply with your resume