Senior Machine Learning Engineer

Launch Potato; Lima Metropolitana; Híbrido; PEN 208,000 - 279,000; Jornada completa

Descripción de la vacante

A leading tech company in Lima is seeking an experienced Machine Learning Engineer to build systems that drive significant revenue. You will develop and deploy models that optimize user experiences and collaborate closely with product teams. The ideal candidate has 5+ years of experience in production ML systems, strong proficiency in Python, and expertise with ranking algorithms. This position offers an opportunity to directly impact business outcomes within a diverse team environment.

Formación

• 5+ years of experience in building production ML systems.
• Strong experience with ranking algorithms including collaborative filtering and learning-to-rank.
• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.

Responsabilidades

• Build and deploy ML models serving millions of predictions daily.
• Develop ranking algorithms balancing relevance and revenue.
• Implement real-time personalization features under strict latency requirements.

Conocimientos

Building production ML systems

Ranking algorithms

Python and ML frameworks

Distributed computing

Improving business metrics

Educación

BS/MS in Computer Science or related field

Herramientas

TensorFlow

PyTorch

Spark

Ray

Descripción del empleo

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.