Staff Machine Learning Engineer

Headspace

4d•Remote

About The Position

The AI & Machine Learning group 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 AI. Our group builds conversational AI systems including Ebb, as well as search, recommendation & personalization systems that power the Headspace experience. The Staff ML Engineer for Personalization will be part of the team developing and delivering the holistic system to enable the personalization of the Headspace experience, including content recommendation, personalized nudges & notifications, and a tailored conversational AI experience with Ebb. You’ll have the opportunity to lead the vision, alignment, development, deployment, and adoption of these solutions, helping to realize Headspace’s mission to improve the health and happiness of the world.

Requirements

Bachelor of Science degree 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, programming in Python
5+ 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.
3+ 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

Nice To Haves

Master’s degree in relevant field or equivalent experience
Professional experience with clinical and/or healthcare applications of machine learning
Familiarity with current ML literature
Experience with implementation of robust and highly scalable services
Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM

Responsibilities

Lead the development of recommender systems for Headspace meditation & mindfulness content as well as other backend services that enable a personalized member experience including search, a user knowledge graph, and conversational AI memory.
Develop and deploy complex, scalable AI models and applications.
Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare.
Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth.
Contribute to the design, development, and evolution of our AI systems, taking it from high-level vision to robust implementation, enabling production-ready AI capabilities.
Partner with our team of software engineers, ML engineers, and MLOps engineers, and our Product & Clinical leads to build high quality features that improve members’ lives.