Remote Lead Machine Learning Engineer

WHO ARE WE?

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered in  vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

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


• 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)

What We're Looking For

• 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 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 make your impact in a profitable, high-growth company? 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.