Staff Machine Learning Engineer

About the Staff Machine Learning Engineer at Headspace The AI & Machine Learning group at Headspace is a dynamic and innovative team whose mission is to improve the experiences of our members and clinicians through mindful application of AI. Our group builds conversational AI systems, including Ebb, as well as search, recommendation, and 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 that enables the personalization of the Headspace experience, including content recommendation, personalized nudges, notifications, and a tailored conversational AI experience with Ebb. You’ll 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. What you will do Technical Leadership: 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. This will involve developing and deploying complex, scalable AI models and applications. Drive impactful ML technology initiatives that shape the delivery 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. Shape Personalization Architecture: Contribute to the design, development, and evolution of our AI systems, taking them from high‑level vision to robust implementation, enabling production‑ready AI capabilities. Collaborative Problem‑Solving: Partner with software engineers, ML engineers, MLOps engineers, and Product & Clinical leads to build high‑quality features that improve members’ lives. What you will bring Required Skills 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 Preferred Skills Master’s degree in a 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 Location We are currently hiring this role remotely. Candidates must permanently reside in the US full‑time. Compensation The anticipated new hire base salary range for this full‑time position is $140,400‑$200,000 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to unique relevant experience, job‑related skills, and education or training. Benefits At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Commitment to Diversity, Equity, Inclusion and Belonging Headspace is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse and inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws in the locations where we operate. Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act and certain state or federal laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing undue hardship on Headspace. All member records are protected in accordance with our Privacy Policy. #J-18808-Ljbffr