▷ Urgente! Principal Machine Learning Engineer...

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.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration / exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

Technical Expertise Required :

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.

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, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Do you have 5 or more years of experience engineering & deploying machine learning models for the following : Advertising, Ranking, Recommendation, Personalization, and / or Conversion Rate

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