Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, Atlanta, Georgia, United States, 30383
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. 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
Accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high‑performers.
Base salary: $160,000 to $250,000 per year, paid semi‑monthly.
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.
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.
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 future state of ML infrastructure and personalization strategy while balancing deep technical rigor with product impact.
Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation.
Technical Influence: Drives decision‑making and builds consensus across teams and stakeholders without direct authority.
Expert‑Level Execution: Navigates deep technical complexity while maintaining execution velocity.
Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar.
External Thought Leadership: Represents Launch Potato in the ML community and contributes to its reputation.
Curiosity & Forward‑Looking: Constantly explores new approaches to personalization and prototypes cutting‑edge methodologies.
Total Compensation
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Compensation includes a base salary, profit‑sharing bonus, and competitive benefits. Launch Potato is performance‑driven; future increases will be based on company and personal performance.
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, or disability.
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Why join us
Accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high‑performers.
Base salary: $160,000 to $250,000 per year, paid semi‑monthly.
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.
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.
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 future state of ML infrastructure and personalization strategy while balancing deep technical rigor with product impact.
Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation.
Technical Influence: Drives decision‑making and builds consensus across teams and stakeholders without direct authority.
Expert‑Level Execution: Navigates deep technical complexity while maintaining execution velocity.
Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar.
External Thought Leadership: Represents Launch Potato in the ML community and contributes to its reputation.
Curiosity & Forward‑Looking: Constantly explores new approaches to personalization and prototypes cutting‑edge methodologies.
Total Compensation
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Compensation includes a base salary, profit‑sharing bonus, and competitive benefits. Launch Potato is performance‑driven; future increases will be based on company and personal performance.
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, or disability.
#J-18808-Ljbffr