ML Software Engineer II - Production-Grade ML & Ads Optimization

Bzpp; United States; Presencial; USD 256.000 - 266.000; Jornada completa

Descripción de la vacante

SAMSUNG ELECTRONICS AMERICA, INC. in Mountain View, CA is seeking an Engineer II, Machine Learning Software to lead production-grade ML products for Samsung Ads.

You will design, develop and deploy scalable ML models to optimize ad performance, such as pCTR and ROAS, and you will collaborate with ML platform, serving and MLOps teams while mentoring junior engineers.

The role requires a Master’s degree in CS and at least four years of experience with Python, Spark, TensorFlow and PyTorch.

Formación

• Master’s degree in Computer Science or a related field.
• Four years of experience in ML or software engineering.
• Four years programming in Python.
• Two years data analysis to generate insights for engineering/product teams.
• Two years using Apache Spark to author ML feature pipelines.
• One year managing cross-functional data projects including project design, requirements, and implementation.

Responsabilidades

• Lead end-to-end production-grade ML products for mobile ads.
• Design, develop and deploy scalable ML models for optimization goals (pCTR, ROAS, retention).
• Prototype new ML solutions and deploy them to production.
• Analyze massive advertising data to identify gaps and propose technical proposals.
• Collaborate with ML platform, ML serving, and MLOps teams to improve codebase and product health.
• Mentor junior engineers and provide technical guidance.

Conocimientos

Python programming

Large-scale data analysis

Educación

Master’s degree in Computer Science or related field

Herramientas

TensorFlow

PyTorch

Apache Spark

Spark ML

Descripción del empleo

SAMSUNG ELECTRONICS AMERICA, INC. in Mountain View, CA is seeking an Engineer II, Machine Learning Software to lead production-grade ML products for Samsung Ads.

You will design, develop and deploy scalable ML models to optimize ad performance, such as pCTR and ROAS, and you will collaborate with ML platform, serving and MLOps teams while mentoring junior engineers.

The role requires a Master’s degree in CS and at least four years of experience with Python, Spark, TensorFlow and PyTorch.