Lead Machine Learning Engineer
About The Position
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. At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
Requirements
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
Nice To Haves
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Responsibilities
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
Benefits
- profit-sharing bonus
- competitive benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
