Overview
as the discovery and conversion company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
headquartered in south florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
why join us?
at launch potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
must have
* expertise building ml systems with deep expertise in large-scale personalization
* recognized industry expertise through patents, publications, or significant product impact
* proven success architecting ml platforms serving billions of predictions in production
* demonstrated track record of 0→1 innovation in personalization or recommender systems
* mastery across multiple ml domains including deep learning, causal inference, multi-armed bandits, and graph-based models
experience
10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization
your role
establish the technical vision for personalization at launch potato, solving the company’s most complex ml challenges and influencing strategy, architecture, and innovation across teams.
outcomes
* define company-wide personalization strategy and architecture, driving alignment across all ml teams
* solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
* design and implement advanced ml solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
* create and enforce ml architecture patterns, design standards, and reusable infrastructure across teams
* lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business kpis
* act as technical mentor to senior ml engineers, guiding complex decision-making and scaling team capability
* represent launch potato’s technical brand externally through speaking engagements, open source contributions, or publications
* champion privacy-preserving personalization, responsible ai practices, and adaptive learning systems
competencies
* visionary thinking: defines the future state of ml infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
* architectural excellence: designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
* technical influence: drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
* expert-level execution: navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
* mentorship & leadership: coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
* external thought leadership: represents lp in the ml community and contributes to growing its reputation as a leader in ml innovation.
* curious & forward-looking: constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.
want to accelerate your career? Apply now!
since day one, we\'ve been committed to having a diverse, inclusive team and culture. We are proud to be an equal employment opportunity company. We value diversity, equity, and inclusion.
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