Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, California, Missouri, United States, 65018
Overview
Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning 15 countries, we aim for speed, ownership, and measurable impact.
Responsibilities
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.
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.
Qualifications
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.
Compensation COMPENSATION:
$160,000 to $250,000 per year, paid semi-monthly. Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
About the Role
Support a culture of performance-driven growth; future increases are based on company and personal performance.
Culture & EEO Launch Potato is a diverse, inclusive company and an Equal Employment Opportunity employer. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics.
Location & Additional Info Location: Santa Monica, CA (and remote-friendly considerations may apply). This posting may include additional job listings and related opportunities for context.
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Responsibilities
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.
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.
Qualifications
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.
Compensation COMPENSATION:
$160,000 to $250,000 per year, paid semi-monthly. Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
About the Role
Support a culture of performance-driven growth; future increases are based on company and personal performance.
Culture & EEO Launch Potato is a diverse, inclusive company and an Equal Employment Opportunity employer. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics.
Location & Additional Info Location: Santa Monica, CA (and remote-friendly considerations may apply). This posting may include additional job listings and related opportunities for context.
#J-18808-Ljbffr