Senior Machine Learning Engineer

Launch Potato; Mar del Plata; Presencial; ARS 81.564.000 - 122.348.000; Jornada completa

Descripción de la vacante

A digital media company in Buenos Aires is seeking a Machine Learning Engineer to build and deploy models that drive revenue. The ideal candidate has over 5 years of experience and proficiency in Python, as well as strong knowledge of ranking algorithms. Join a global team focused on innovation and measurable impact.

Formación

• 5+ years building production ML systems.
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank).
• Track record of shipping models that improve business metrics.

Responsabilidades

• Build and deploy ML models serving 100M+ predictions daily.
• Develop ranking algorithms that balance relevance, diversity, and revenue.
• Implement real-time personalization features with <50ms latency.

Conocimientos

Building production ML systems

Ranking algorithms

Proficiency in Python

Experience with distributed computing

Educación

BS/MS in Computer Science, Machine Learning, or related field

Herramientas

TensorFlow

PyTorch

Spark

Ray

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

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.

What You'll Do

1. Build and deploy ML models serving 100M+ predictions daily
2. Develop ranking algorithms that balance relevance, diversity, and revenue
3. Implement real-time personalization features with <50ms latency requirements
4. Run A/B tests and analyze model performance against business KPIs
5. Optimize models for production (latency, throughput, cost)
6. Collaborate with product teams to identify new personalization opportunities

What We're Looking For

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

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.