Principal ML Engineer
Job Description
Launch Potato is a dynamic digital media company at the forefront of consumer engagement, reaching an impressive audience of over 30 million monthly visitors through its portfolio of brands including FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, they're on a mission to connect consumers with leading brands through data-driven content and technology.
The Principal ML Engineer role represents a unique opportunity to shape the future of personalization and optimization systems at Launch Potato. As a technical visionary, you'll be responsible for defining ML architecture, tackling complex technical challenges, and influencing ML strategy across the entire organization. This individual contributor role requires a deep technical expert who can drive innovation in personalization systems.
The position demands expertise in advanced ML architectures, real-time systems, and privacy-preserving personalization. You'll be working with cutting-edge technologies and approaches including deep learning, bandits, causal ML, and graph methods. The role offers the chance to make a significant impact by designing company-wide personalization architecture and solving complex challenges like cold start problems and real-time learning.
What makes this opportunity particularly compelling is Launch Potato's remote-first culture, spanning 15 countries, which promotes high-performance and measurable impact. The company values speed, ownership, and maintains a strong commitment to diversity and inclusion. As a Principal ML Engineer, you'll have the platform to influence the direction of ML implementation across multiple brands while mentoring senior engineers and representing the company in the external ML community.
Responsibilities For Principal ML Engineer
- 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
Requirements For Principal ML Engineer
- 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
- Advanced ML architectures at scale
- Real-time ML systems and edge deployment
- Multi-stakeholder marketplace optimization
- Online learning and adaptive systems
- Privacy-preserving personalization
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