Principal Machine Learning Engineer
hace 3 semanas
WHO ARE WE? 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? 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 Lead cross‑functional initiatives spanning multiple quarters Mentor senior engineers and review critical technical decisions Represent the company in the external ML community What We're Looking For 10+ years building ML systems, with deep personalization expertise Recognized expert in ML systems (publications, patents, or industry impact) Experience architecting ML platforms serving billions of predictions Track record of 0→1 innovation in personalization systems Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods) Ability to influence without authority and drive consensus Exceptional communication skills for technical and executive audiences Technical Expertise Required Advanced ML architectures at scale Real‑time ML systems and edge deployment Multi‑stakeholder marketplace optimization Online learning and adaptive systems Privacy‑preserving personalization 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. #J-18808-Ljbffr
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, , Argentina EPAM Systems A tiempo completo1 week ago Be among the first 25 applicants We are seeking a Machine Learning Engineer to join our team and support the GenAI initiative. In this role, you will focus on designing, improving, and optimizing backend infrastructure to power LLM-based applications using OpenAI APIs. Your skills in MLOps, CI/CD, observability, and cloud-native technologies will...
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