Engineer, Machine Learning Software

Samsung Electronics is seeking a Machine Learning Software Engineer to join their team in Mountain View, CA. This role focuses on delivering production-grade machine learning products to establish Samsung Ads as a key player in the mobile performance ads market. The position offers an opportunity to work with cutting-edge ML technologies and massive advertising data while developing scalable solutions for various optimization goals.

The ideal candidate will have a Master's degree in Computer Science or related field and strong experience in machine learning, particularly in production environments. You'll be working with modern ML frameworks, large-scale data processing tools, and cloud infrastructure to build and deploy sophisticated machine learning models.

This role combines technical expertise with leadership opportunities, as you'll be mentoring junior engineers while collaborating with various ML teams and cross-functional partners globally. The position offers competitive compensation between $193,800 – $203,800 annually and the chance to work for a global technology leader that has been transforming multiple industries since 1969.

Key aspects of the role include designing and implementing ML models for app-install optimization, ROAS optimization, and retention, working with technologies like TensorFlow, PyTorch, and AWS, and maintaining high standards of code quality and system design. The position requires strong programming skills in Python and GO, experience with large-scale data processing, and a deep understanding of machine learning principles.

Working at Samsung Electronics means being part of a company that values innovation, diversity, and inclusive culture. You'll be contributing to a team that's pushing the boundaries of technology across multiple domains, from mobile devices to semiconductors. The company provides equal employment opportunities and is committed to creating an environment where talent can thrive and contribute to building a better tomorrow for customers, partners, and communities.