Samsung Ads is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team in Mountain View, CA. This role offers a unique opportunity to work with Samsung's proprietary data and develop large-scale machine learning products with real-world impact in the advertising technology space.
The position involves leading a team to deliver production-grade machine learning solutions while working closely with talented engineers and researchers. The role combines technical leadership, hands-on development, and cross-functional collaboration to drive innovation in advertising technology through machine learning.
As a Machine Learning Model Engineer, you'll be responsible for designing and implementing scalable, low-latency machine learning products, optimizing existing systems, and exploring cutting-edge technologies. The role requires strong technical expertise in machine learning, big data technologies, and programming, combined with excellent communication skills to work effectively with various stakeholders.
The position offers competitive compensation ($240,000-$280,000) and comprehensive benefits including medical, dental, vision, life insurance, 401(k), and educational assistance. Samsung provides a collaborative environment where you can work on challenging projects with global impact while having access to unique datasets and advanced technologies.
This is an excellent opportunity for experienced machine learning professionals who want to work at the intersection of advertising technology and artificial intelligence, with the backing of a global technology leader. The role offers significant growth potential and the chance to influence the future of advertising technology through machine learning innovation.
Samsung Ads' position as part of Samsung Electronics provides stability and resources while maintaining an entrepreneurial spirit. The company's focus on problem-solving and innovation makes this an ideal role for someone looking to make a significant impact in the advertising technology space while working with cutting-edge machine learning technologies.