Principal ML Engineer, Recommendation Systems

Launch Potato; Puebla de Zaragoza; Híbrido; MXN 2,162,000 - 2,703,000; Jornada completa

Descripción de la vacante

A tech-driven company in Puebla is seeking a Principal ML Engineer to lead the personalization strategy and tackle complex machine learning challenges. The ideal candidate will have over 10 years of experience in designing and deploying large-scale ML systems. This remote-first position emphasizes innovation, collaboration, and driving measurable impact within a diverse team. Join us to redefine personalization strategies and influence ML architecture with cutting-edge techniques.

Formación

• 10+ years designing, developing, and deploying large-scale machine learning systems focused on personalization.

Responsabilidades

• Establish the technical vision for personalization.
• Solve complex ML challenges and influence strategy.
• Design advanced ML solutions using cutting-edge techniques.
• Lead cross-functional initiatives impacting business KPIs.

Conocimientos

Expertise building ML systems

Large-scale personalization

Architecting ML platforms

Innovation in recommender systems

Mastery of deep learning techniques

Educación

Master's degree in Computer Science or related field

Descripción del empleo

Principal ML Engineer, Recommendation Systems

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 capabilityRepresent 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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