💼 About This Role

You'll build the core recommendation and decision engine behind a smart speaker that understands music and context. Your work will directly shape how the system learns taste and improves over time. This is a founding-level role with full ownership over a zero-to-one product.

🎯 What You'll Do

• Design algorithms for recommendations, transitions, and flow
• Build systems that model taste, context, and real-time signals
• Turn messy inputs into clean decisions with fast experimentation
• Define evaluation metrics for subjective taste quality

📋 Requirements

• Strong background in algorithms, ML, or recommendation systems
• Experience building real-time or sequential decision systems
• Deep intuition for ranking, personalization, or taste modeling
• Ability to go from idea to working system independently

✨ Nice to Have

• Worked on music, audio, or media recommendation systems
• Built ranking, retrieval, or session-based models at scale
• Designed evaluation frameworks for subjective systems

🎁 Benefits & Perks

• 🚀 Founding-level ownership on a new product
• 🎵 Rare problem: turning taste into a system
• 👥 Small team, fast loops, real users from day one
• 🏢 Backed by Mixtiles, a profitable $300M brand

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite/Team Interview· 2 hours