Senior Machine Learning Engineer

Launch Potato; Perímetro Urbano Barranquilla; Híbrido; COP 80.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

A leading tech company is seeking an experienced Machine Learning Engineer to build and deploy advanced ML models and personalization features. The ideal candidate has over 5 years of experience in ML systems, strong skills in ranking algorithms and Python. Join a diverse team and help drive significant impact in a remote-first environment.

Formación

• 5+ years building production ML systems.
• Strong experience with ranking algorithms.
• Experience with distributed computing.

Responsabilidades

• Build and deploy ML models serving 100M+ predictions daily.
• Develop ranking algorithms that balance relevance, diversity, and revenue.
• Implement real‑time personalization features.

Conocimientos

Building production ML systems

Ranking algorithms

Python proficiency

Distributed computing

Educación

BS/MS in Computer Science, Machine Learning

Herramientas

TensorFlow

PyTorch

Spark

Ray

Descripción del empleo

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

• 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 requirements
• Run A/B tests and analyze model performance against business KPIs
• Optimize models for production (latency, throughput, cost)
• 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.