Related skills
recommendation systems ml experimentation personalization real-time📋 Description
- Build the core recommendation and decision engine behind DJ
- Design systems that model taste, context, and real-time signals
- Develop algorithms for sequencing, transitions, and session flow
- Turn messy inputs (behavior, feedback, environment) into clean decisions
- Experiment fast—test with real users, iterate, improve
- Define how we evaluate “good taste” and make it measurable
🎯 Requirements
- Strong background in algorithms, ML, or recommendation systems
- Experience building systems that make real-time or sequential decisions
- Deep intuition for ranking, personalization, or taste modeling
- Ability to go from idea to working system - fast and independently
- Product instinct - you care not just about accuracy, but about how it feels
- Comfort operating in ambiguity and defining the problem as you go
🎁 Benefits
- Founding-level ownership on a brand new product
- Rare problem: turning taste into a system
- Small team, fast loops, real users from day one
- Backed by a company that knows how to build products people love
- Worked on music, audio, or media recommendations
- Built ranking, retrieval, or session-based models at scale
- Designed evaluation frameworks for taste, relevance
- Have strong opinions about music - and can explain them
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