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Samsung Ads is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team. This role 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 technology space. The position combines technical leadership with hands-on development, requiring expertise in both machine learning and software engineering. The role involves leading a team to deliver production-grade ML solutions while working closely with various stakeholders and teams. You'll be responsible for designing and implementing scalable, low-latency machine learning products that drive business impact. The position requires strong technical skills in ML libraries, big data tools, and programming languages like Python and Go, along with excellent communication abilities to manage cross-functional partnerships. Samsung Ads offers an entrepreneurial and collaborative environment within the larger Samsung ecosystem, providing opportunities to work on challenging projects with global impact. The company is at the forefront of advanced advertising technology, using comprehensive data to build intelligent advertising platforms. This position offers exposure to cutting-edge ML technologies and the chance to work with top-notch researchers and engineers. The compensation range of $190,000 to $225,000 reflects the senior nature of the role and its importance to Samsung's advertising technology initiatives. The position is based in Mountain View, CA, with a hybrid work arrangement, offering flexibility while maintaining collaborative opportunities with the team. This is an ideal opportunity for an experienced ML professional who wants to combine technical expertise with leadership responsibilities while working on impactful projects in the advertising technology sector. The role offers significant growth potential and the chance to shape the future of advertising technology through machine learning innovations. Last updated 15 days ago Lead a team to deliver production-grade machine learning solutions Design, develop, and deploy scalable low-latency machine learning products Communicate with stakeholders to understand business requirements Work with ML platform and serving teams to deploy ML pipelines Optimize and scale existing machine learning products Work with MLOps team to ensure product health Research latest machine learning technologies Create prototypes and proof-of-concepts for new features Design and implement next-generation machine learning models Requirements For Machine Learning Model Engineer

Python Go Master's or PhD degree in Computer Science or related fields 5+ years industry experience with Master's or 3+ years with PhD Solid theoretical background in machine learning and/or data mining Experience with production-grade machine learning solutions Proficiency in ML libraries (TensorFlow, PyTorch, Spark ML) Experience with big data tools (MapReduce, Spark, Flink, Kafka) Extensive programming experience in Python, Go, or other OOP languages Proficiency in SQL and databases Strong communication and interpersonal skills Lead machine learning engineer position at Samsung Ads, developing and deploying large-scale ML solutions for advanced advertising technology with competitive compensation in Mountain View, CA. Lead Machine Learning Engineer role at Samsung Ads, developing and deploying large-scale ML solutions for advertising technology with competitive compensation in Mountain View, CA. Lead Machine Learning Engineer position at Samsung Ads, developing and deploying large-scale ML solutions for advertising technology with competitive compensation of $190K-$225K in Mountain View, CA. Lead Machine Learning Engineer position at Samsung Ads, developing and deploying large-scale ML solutions for advanced advertising technology, hybrid role in Mountain View, CA. Lead Machine Learning Engineer position at Samsung Ads, developing and deploying large-scale ML solutions for advertising technology with competitive compensation of $190K-$225K.

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