🛠 Tech Stack

💼 About This Role

You'll lead the development of personalization systems including recommender systems and conversational AI for Headspace's mindfulness platform. You'll shape the architecture of scalable AI models that power content recommendations and tailored member experiences. This role offers the chance to drive impactful ML initiatives that improve mental healthcare access.

🎯 What You'll Do

• Lead development of recommender systems for meditation content
• Design and deploy scalable AI models in production
• Mentor junior engineers and drive ML technology initiatives
• Collaborate with product, clinical, and engineering teams

📋 Requirements

• 5+ years of ML engineering experience with Python
• 5+ years with recommender systems or vector search
• 3+ years with NLP tools (scikit-learn, PyTorch, TensorFlow)
• Experience with version control and testing

✨ Nice to Have

• Master's degree in relevant field
• Experience with healthcare ML applications
• Experience with AWS (SageMaker, Lambda, S3, DynamoDB)

🎁 Benefits & Perks

• 💰 Competitive base salary + equity
• 🏥 Comprehensive healthcare coverage
• 🧘 Lifetime Headspace membership
• 👶 Generous parental leave
• 📈 Retirement savings match

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min