Machine Learning Model Engineer
Description For Machine Learning Model Engineer
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 and develop 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 in delivering production-grade ML solutions, working with cutting-edge technologies, and collaborating across multiple teams including MLOps and external partners. You'll be responsible for designing and implementing scalable, low-latency machine learning products while maintaining close communication with stakeholders to align technical solutions with business needs.
Samsung Ads, as part of Samsung Electronics, offers an entrepreneurial and collaborative environment where you can 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 for Samsung TV audiences.
The ideal candidate will bring a strong academic background (Master's or PhD) in Computer Science, combined with significant industry experience in machine learning and software engineering. You should be proficient in machine learning libraries, big data tools, and programming languages like Python and Go. Experience with AWS and the advertising industry's real-time bidding ecosystem would be advantageous.
This position offers competitive compensation ranging from $190,000 to $225,000, based on experience and qualifications. Samsung is committed to fostering an inclusive culture and diverse workforce, providing equal opportunities for all talent to thrive and contribute to building a better tomorrow for customers, partners, and communities.
Responsibilities For Machine Learning Model Engineer
- 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
- Deploy and streamline machine learning pipelines
- Optimize and scale up 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
- Master's or PhD degree in Computer Science or related fields
- 5+ years of industry experience with Master's or 3+ years with PhD
- Solid theoretical background in machine learning and/or data mining
- Rich hands-on experience with production-grade machine learning solutions
- Proficiency in mainstream 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
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