Machine Learning Model Engineer

Samsung Ads is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team. This role sits at the intersection of advanced advertising technology and machine learning, focusing on enabling brands to connect with Samsung TV audiences through data-driven solutions.

The position offers a unique opportunity to work with Samsung's proprietary data to develop and deploy large-scale machine learning products with real-world impact in the advertising industry. As part of a world-class organization grounded in an entrepreneurial and collaborative spirit, you'll work alongside talented engineers and top-notch researchers on cutting-edge machine learning projects.

The role requires a strong technical background with either a Master's degree and 5+ years of experience or a PhD with 3+ years of experience. You'll be responsible for leading a team in delivering production-grade machine learning solutions, designing scalable low-latency products, and working closely with various stakeholders to drive business impact.

Key technical requirements include proficiency in mainstream ML libraries (TensorFlow, PyTorch, Spark ML), experience with big data tools (MapReduce, Spark, Flink, Kafka), and strong programming skills in Python, Go, or other OOP languages. The ideal candidate will have a solid theoretical background in machine learning and hands-on experience with production systems.

The position offers competitive compensation ranging from $240,000 to $280,000 and is based in Mountain View, CA, with a hybrid work arrangement. Samsung provides a comprehensive benefits package and promotes an inclusive culture that values diversity and innovation.

This is an excellent opportunity for a seasoned machine learning professional looking to make a significant impact in the advertising technology space while working with cutting-edge technology and proprietary data at one of the world's leading technology companies.