Launch Potato is looking to solve the business problem of enhancing its digital media brands' performance through next-generation personalization and optimization systems, aiming to connect consumers with leading brands via data-driven content and technology.
Requirements
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Responsibilities
- Lead a team of ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
Other
- 7+ years in ML engineering, 2+ years leading technical teams
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
