Machine Learning Engineer, Platform – Samsung Ads at Samsung Electronics America
Interview Preparation Plan
As a Machine Learning Engineer, Platform at Samsung Ads, you will be instrumental in developing and deploying advanced machine learning systems that power Samsung's advertising technology. This role involves building and maintaining robust ML platforms designed for large-scale model training and prediction pipelines. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into Samsung's advertising products and services. The position requires a strong foundation in machine learning algorithms, data structures, and software engineering best practices, with a focus on creating scalable and efficient ML infrastructure. You will contribute to the entire ML lifecycle, from data ingestion and feature engineering to model deployment, monitoring, and optimization, ensuring that Samsung Ads remains at the forefront of the ad-tech industry through data-driven innovation. This role demands a proactive approach to problem-solving and a keen ability to adapt to a rapidly evolving technological landscape. You will be expected to stay abreast of the latest advancements in machine learning and distributed systems to continuously improve the platform's performance and capabilities. Your work will directly impact the effectiveness of Samsung's advertising solutions, driving key business metrics and enhancing user experiences. A passion for building scalable systems and a commitment to delivering high-quality, production-ready ML solutions are essential for success in this position.
Key Responsibilities
- Design, build, and maintain scalable machine learning platforms and infrastructure.
- Develop and optimize ML pipelines for training, evaluation, and deployment of models.
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