Production ML Engineer II: Build Scalable Ads Models

Samsung Electronics Perú; Mountain View (CA); On-site; USD 256,000 - 266,000; Full time

Job summary

SAMSUNG ELECTRONICS AMERICA, INC. seeks an Engineer II, Machine Learning Software in Mountain View, CA.

You will lead production-grade ML products end to end, designing and deploying scalable models for optimization goals and collaborating with ML teams across the globe. The role requires a Master’s degree in CS and multiple years of Python, Spark, TensorFlow and PyTorch experience, plus data analytics and cross-functional project leadership.

Qualifications

• Master’s degree in Computer Science or related field with four years of relevant experience.
• Four years of Python programming experience.
• Two years of experience with large-scale data analysis and using Apache Spark for ML feature pipelines.
• One year of experience managing cross-functional data projects including project design, requirements, and implementation.

Responsibilities

• Lead and deliver production-grade ML products end to end.
• Design, develop and deploy scalable ML models for optimization goals (e.g., ads click-through, ROAS).
• Research the latest ML technologies, prototype new solutions, and deploy to production.
• Analyze complex problems with massive advertising data and propose technical proposals.
• Collaborate with ML platform, ML serving, and MLOps teams to improve codebase and product health.

Skills

Python

Machine Learning

Spark

TensorFlow

PyTorch

Go

Big Data

Data Analysis

Cross-functional collaboration

Mentoring

Education

Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

Apache Spark

Job description

SAMSUNG ELECTRONICS AMERICA, INC. seeks an Engineer II, Machine Learning Software in Mountain View, CA.

You will lead production-grade ML products end to end, designing and deploying scalable models for optimization goals and collaborating with ML teams across the globe. The role requires a Master’s degree in CS and multiple years of Python, Spark, TensorFlow and PyTorch experience, plus data analytics and cross-functional project leadership.