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# Machine Learning Model - Research Engineer

- **Company:** Samsung
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Programming, Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Oop Languages, Software Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Scikit Learn, Information Technology, Multiaccess Edge Computing
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_dd6404da2fba727f606f45392063ee46

## About the Role

* Master's or PhD degree in Computer Science or related fields
 * Rich hands- on experience in state-of-the- art large language models (LLMs) and/ or diffusion models
 * Solid theoretical background in machine/ deep learning and/ or LLMs
 * Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
 * Extensive programming experience in Python, Go, or other OOP languages
 * Familiarity with data structures, algorithms, and software engineering principles
 * Strong communication and interpersonal skills to drive cross- functional partnerships
 * Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)

Preferred Experience Requirements

 * Basic knowledge about Amazon Web Services (AWS)
 * Experience with machine learning productization
 * Experience with the advertising industry and real- time bidding (RTB) ecosystem
 * 5+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree

The salary range for this role, for candidates based in California, is expected to be between $230K ~ $280K. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

## Description

* Build next-generation generative AI-based products to open new business opportunities and transform user experience.
 * Explore and share cutting- edge machine learning technologies for our business use cases.
 * Design and develop advanced deep learning models to improve existing products.
 * Create quick prototypes and proof- of- concepts for machine learning product features.
 * Closely work with the machine learning engineering team to deploy new models in production to generate real- world impact.
 * Closely work with university collaborators and external partners to advance our machine learning capabilities.
 * Publish research results in top venues and file patents.