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Senior Machine Learning Engineer

Launch Potato

Lima Metropolitana
Hybrid
PEN 208,000 - 279,000
2 days ago
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ANALISTA DE LABORATORIO

SGS

Ventanilla
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PEN 20,000 - 30,000
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APOYO EN SERVICIOS DEL HOGAR CAMA ADENTRO URGENTE!

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Surco
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Auxiliar Técnico de Ventas Sihuas (Chimbote) (PCD)

Cementos Pacasmayo SAA

Chimbote
On-site
PEN 70,000 - 100,000
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PERSONAL PARA EL HOGAR MIRAFLORES

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Miraflores
On-site
PEN 10,000 - 35,000
2 days ago
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San Miguel
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< PEN 10,000
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Técnico/A Electromecánico de Maquinaria Pesada - España

PSICOTEC PERÚ S.A.C.

San Isidro
On-site
PEN 10,000 - 35,000
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San Juan de Lurigancho
On-site
PEN 35,000 - 50,000
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NG Restaurants

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San Miguel
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Bir Servicios S.A.C

San Martin De Porres
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Las mejores empresas para trabajar en Perú

Lima Metropolitana
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PEN 35,000 - 50,000
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Robert Bosch Group

Lima Metropolitana3
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PEN 10,000 - 35,000
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URGENTE CUIDADO DE BEBE RECIÉN NACIDO - NOCHE

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Miraflores
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PEN 50,000 - 70,000
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Chorrillos
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Jesús María
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PEN 10,000 - 35,000
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APOYO EN SERVICIOS CAMA ADENTRO

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Miraflores
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PEN 100,000 - 150,000
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San Isidro
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Analista de Excelencia Operacional

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PEN 30,000 - 40,000
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NANA URGENTE CAMA ADENTRO

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Surco
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PEN 50,000 - 70,000
2 days ago
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Técnico Electricista

TECHING Perú

Piura
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PEN 35,000 - 50,000
2 days ago
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Jesús María
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Senior Machine Learning Engineer
Launch Potato
Lima Metropolitana
Hybrid
PEN 208,000 - 279,000
Full time
2 days ago
Be an early applicant

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Building production ML systems
Ranking algorithms
Python and ML frameworks
Distributed computing
Improving business metrics

Education

BS/MS in Computer Science or related field

Tools

TensorFlow
PyTorch
Spark
Ray
Job description
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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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