Launch Potato needs to design and implement company-wide personalization architecture and strategy to connect consumers with leading brands through data-driven content and technology.
Requirements
- Advanced ML architectures at scale
- Real-time ML systems and edge deployment
- Multi-stakeholder marketplace optimization
- Online learning and adaptive systems
- Privacy-preserving personalization
- 10+ years building ML systems, with deep personalization expertise
- Experience architecting ML platforms serving billions of predictions
Responsibilities
- Design company-wide personalization architecture and strategy
- Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
- Research and implement state-of-the-art ML techniques
- Define standards and patterns used across all ML teams
- Lead cross-functional initiatives spanning multiple quarters
- Mentor senior engineers and review critical technical decisions
- Represent the company in the external ML community
Other
- Recognized expert in ML systems (publications, patents, or industry impact)
- Track record of 0→1 innovation in personalization systems
- Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
- Ability to influence without authority and drive consensus
- Exceptional communication skills for technical and executive audiences
