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Urgent! Lead Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring Launch Potato

Lead Machine Learning Engineer



Job description

Overview

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

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.

What You'll Do

  • Lead a team of 3-5 ML engineers building personalization systems
  • 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)

What We're Looking For

  • 7+ years in ML engineering, 2+ years leading technical teams
  • Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
  • 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 Have

  • 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

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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Required Skill Profession

Bases De Datos, Analítica Y Bi



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