Senior Machine Learning Engineer

Launch Potato; La Plata; Presencial; ARS 1.400.000 - 1.800.000; Jornada completa

Descripción de la vacante

A leading digital media company in Buenos Aires is seeking an experienced Machine Learning Engineer to develop systems that generate millions in revenue through intelligent personalization. The ideal candidate has over 5 years of experience in production ML systems and expertise in ranking algorithms. This role offers a chance to impact business metrics in a dynamic, high-growth environment.

Formación

• 5+ years of experience building production ML systems.
• Strong expertise in ranking algorithms (collaborative filtering, deep learning, learning-to-rank).
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.

Responsabilidades

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

Conocimientos

Building production ML systems

Ranking algorithms expertise

Proficiency in Python

Experience with Spark or Ray

Educación

BSc or MSc in Computer Science or related field

Herramientas

TensorFlow

PyTorch

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 diverse international team across over a dozen countries. Launch Potato's success stems from a dynamic, entrepreneurial culture and high-performing team. We are always looking for like-minded teammates and partners.

YOUR ROLE

You will build systems that generate millions in revenue through intelligent personalization and optimization. Your work will involve developing and deploying models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role with a direct impact on business metrics.

What You'll Do

1. Build and deploy ML models that serve over 100 million 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, focusing on latency, throughput, and cost.
6. Collaborate with product teams to identify new personalization opportunities.

What We're Looking For

• 5+ years of experience building production ML systems.
• Strong expertise in ranking algorithms (collaborative filtering, deep learning, learning-to-rank).
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with distributed computing tools like Spark or Ray.
• Proven track record of deploying models that improve business metrics.
• BSc or MSc in Computer Science, Machine Learning, or a related field.

Join Us

If you want to make an impact in a profitable, high-growth company, apply now!

Since day one, we have been committed to fostering a diverse and inclusive team and culture. We are proud to be an Equal Employment Opportunity employer. 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, veteran status, disability, or other legally protected characteristics.