Lead ML Engineer

Launch Potato; Municipio de Rosario; Híbrido; ARS 133.200.000 - 173.161.000; Jornada completa

Descripción de la vacante

A profitable digital media company in Santa Fe is seeking an experienced leader for its ML engineering team. In this role, you will lead a small team to build cutting-edge personalization and optimization systems, balancing hands-on coding and technical leadership. Ideal candidates have over 7 years in ML engineering, expertise in large-scale systems, and strong mentorship skills. This position provides the opportunity to significantly impact the company's growth in a remote-first environment.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Team leadership

Deep expertise in large-scale personalization systems

Strong system design skills for ML infrastructure

Mentorship

Stakeholder management

Educación

BS/MS in Computer Science or equivalent experience

Descripción del empleo

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

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 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.