Responsibilities
- Lead the creation and deployment of scalable AI models for personalized meditation and mindfulness recommendations, as well as backend systems supporting search, user knowledge graphs, and conversational AI memory.
- Advance machine learning initiatives that transform how mental healthcare is delivered and accessed by members.
- Act as a technical mentor and role model, promoting high standards in AI/ML engineering and encouraging professional growth in engineering teams.
- Help define and evolve the architecture of AI-driven personalization systems, translating strategic vision into reliable, production-grade implementations.
- Work closely with software engineers, ML engineers, MLOps specialists, product managers, and clinical experts to deliver meaningful, high-quality features that enhance user well-being.
Work Arrangement
Hybrid — greater San Francisco Bay Area
How we feel about Diversity, Equity, Inclusion and Belonging
- Committed to assembling a workforce with diverse backgrounds and perspectives, ensuring a safe and respectful workplace free from discrimination and harassment.
- Dedicated to building an inclusive environment where all employees feel they belong and can thrive while doing impactful work.
- Provides equal employment opportunities and prohibits unlawful discrimination based on race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or other protected characteristics.
- Complies with EEOC-enforced laws and actively works to exceed standards in promoting workplace diversity.
- Offers reasonable accommodations under the Americans with Disabilities Act and applicable state or local laws for applicants with disabilities; candidates should notify the Talent team via form if assistance is needed.
- Participates in the E-Verify Program to confirm employment eligibility.
Not specified
