Senior ML Engineer

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

Descripción de la vacante

A digital media company is seeking a Machine Learning Engineer to build systems that drive significant revenue through personalization and optimization. The ideal candidate has over 5 years of experience in production ML systems, strong expertise in ranking algorithms, and proficiency in Python. Join a diverse team focused on impactful solutions in a high-growth environment.

Formación

• 5+ years building production ML systems.
• Strong experience with ranking algorithms.
• Proficient in Python and ML frameworks.

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

Production ML systems

Ranking algorithms

Python

ML frameworks (TensorFlow/PyTorch)

Distributed computing (Spark, Ray)

Educación

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

Descripción del empleo

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

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 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.