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# Machine Learning Model Engineer

- **Company:** Samsung
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $240,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Programming, Databases, Data Mining, Data Structures, MapReduce, Python (Programming Language), Machine Learning, Tensorflow, Oop Languages, Software Engineering, SQL Databases, Pytorch, Apache Spark, Scikit Learn, Information Technology, Apache Flink, Apache Kafka, Data Management, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_14e859893e70129629caf16df9a4eca2

## About the Role

* Master's or PhD degree in Computer Science or related fields
 * 5+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree
 * Solid theoretical background in machine learning and/or data mining
 * Rich hands-on experience with production-grade machine learning solutions
 * Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
 * Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.)
 * Extensive programming experience in Python, Go, or other OOP languages
 * Familiarity with data structures, algorithms, and software engineering principles
 * Proficiency in SQL and databases
 * Strong communication and interpersonal skills to drive cross-functional partnerships

Preferred Experience Requirements

 * Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)
 * Basic knowledge about Amazon Web Services (AWS)
 * Experience with the advertising industry and real-time bidding (RTB) ecosystem

## Description

* Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end.
 * Design, develop, and deploy scalable low-latency machine learning products
 * Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps
 * Closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines
 * Optimize and scale up existing machine learning products
 * Closely work with the MLOps team to ensure product health
 * Closely work with external partners to introduce new machine learning features and tools
 * Research the latest machine learning technologies and keep up-to-date with industry trends and developments
 * Create quick prototypes and proof-of-concepts for new features
 * Design and implement next-generation machine learning models with advanced technologies