Engineer III, Machine Learning Software

Samsung•Mountain View, CA

1d•Hybrid

About The Position

Samsung Electronics America, Inc. is seeking an Engineer III, Machine Learning Software in Mountain View, CA. This role involves working as a tech lead to deliver end-to-end Machine Learning solutions, designing, building, and productionizing ML models for complex problems such as ad targeting and performance prediction. The position requires utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. Collaboration with ML engineers to refine existing products and features, and taking ownership of data science projects from inception to production are key responsibilities. The role also includes communicating complex technical findings to diverse audiences and proactively examining the Samsung Ads ecosystem to identify opportunities and suggest technical solutions.

Requirements

Ph.D. degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and three years of research or work experience in the job offered or as a Research Scientist, Data Scientist, Machine Learning Engineer or another related occupation.
Three years of research or work experience in the full lifecycle of machine learning model development from feature engineering to production deployment.
Proficiency with all of the following algorithms: DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression, and the ability to select the optimal approach for a given problem.
Programming with Python or Go.
Deep understanding of data manipulation libraries including Pandas, NumPy, and Scikit-learn, and experience building production code.
Experience with version control systems including Git and CI/CD pipelines for automated model deployment.
Experience in data wrangling and integration.
Experience identifying, accessing, and integrating diverse data sources, including proactively addressing data limitations and extending data applicability.
Demonstrated experience in data quality assessment and remediation.
Hands-on experience with Spark and AWS data processing services.
Experience building and automating ETL pipelines using workflow management tools including Airflow.
Experience problem framing and solution design including the ability to translate business problems into well-defined data science problems and design innovative solutions.

Responsibilities

Work as a tech lead to deliver end-to-end Machine Learning solutions to effectively drive business and technical initiatives.
Design, build, and productionize machine learning models to solve complex problems in areas like ad targeting and performance prediction.
Utilize statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth.
Collaborate closely with ML engineers to define, refine, and improve existing machine learning products and features.
Take ownership of data science projects from inception to production, ensuring scalability and reliability.
Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams.
Proactively examine business health of and identify product bottlenecks in the entire Samsung Ads ecosystem to unveil new business opportunities, help strategic decision making, and suggest technical solutions that can streamline workflows, improve user experiences, and open new avenues for growth through data analysis.