Headspace provides free and confidential counseling service for children and adults between 12-25 years of age based on volunteering.
This company offers a hybrid work model combining remote and office work.
Headspace pioneers lifelong mental health support for everyone. Our all-in-one app delivers personalized care, from guided meditation to therapy. We've touched over 100 million lives and have over 105 million app downloads. Our services reach millions of users across nearly 200 countries, helping them manage stress, improve sleep, and enhance overall well-being. We partner with employers and health plans to expand access to our comprehensive mental health solutions.
We foster a mission-driven, wellness-first culture. Mindfulness is embedded into our work rituals. We hold twice-daily group meditation sessions. All-hands meetings start with guided meditation. We embrace a hybrid work model with offices in Santa Monica, San Francisco, and London. Remote employees work across select US states and the UK. "Refresh Days" offer Fridays off for self-care. "Focus Fridays" provide dedicated time for deep work quarterly. This commitment ensures a healthy work-life balance for our team. For fully-remote team members, we host regular local and virtual events to build connection. We also provide a home-office stipend for remote employees.
Engineers at Headspace solve complex challenges in delivering accessible mental health care. You will build scalable AI models and applications from inception to production. This includes conversational AI systems and personalization. Our teams drive the design and evolution of our internal ML platform. We integrate multi-modal data for demand forecasting and optimization. You will work with cutting-edge technology to shape mental health care delivery. Expertise in big data technologies like Redshift, S3, and Databricks is crucial. We use Python, SQL, and ML libraries like PyTorch and TensorFlow. Our teams are also pioneering new uses of AI in analytics and forecasting. We focus on continuous skill development in clinical expertise and technology.