Samsung Electronics America is seeking an Engineer II, Machine Learning Software to join their team in Mountain View, California. This role presents an exciting opportunity to work at one of the world's leading technology companies, focusing on building next-generation machine learning platforms.
The position involves designing and developing sophisticated ML infrastructure capable of supporting thousands of concurrent model training pipelines and handling trillions of daily batch predictions. You'll be instrumental in building a world-class ML platform specifically tailored for Samsung's ML-based advertising business, with the goal of streamlining the model development and deployment process.
As an Engineer II, you'll be working with cutting-edge technologies including Docker, Jenkins, AWS Cloud, Google Cloud, and various monitoring tools like Prometheus and Grafana. The role requires a strong background in software engineering, with a Master's degree in Computer Science or related fields and three years of relevant experience (or Ph.D. with one year of experience).
Key responsibilities include researching and implementing the latest ML platform technologies, collaborating with internal ML teams to maintain code quality, and working with global cross-functional teams. You'll also have the opportunity to mentor junior engineers and provide technical guidance, making this an excellent role for those looking to grow their leadership skills.
The position offers competitive compensation ranging from $199,534 to $204,000 per year. Samsung Electronics America provides an inclusive work environment and equal employment opportunities for all individuals. The company is committed to fostering innovation through diversity and creating a workplace where everyone can contribute to building better technology for customers worldwide.
This role is perfect for candidates who are passionate about machine learning infrastructure, have strong software engineering skills, and want to work on large-scale systems that power Samsung's advertising technology. You'll be joining a global technology leader with a strong commitment to innovation and growth, making this an excellent opportunity for career development in the ML engineering field.