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 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 in delivering production-grade ML solutions, working with cutting-edge technologies, and collaborating across multiple teams including MLOps, platform teams, and external partners. You'll be responsible for designing and implementing scalable, low-latency machine learning products that drive business impact.
Samsung Ads is part of Samsung Electronics, a global technology leader established in 1969. The company focuses on connecting brands with Samsung TV audiences through advanced advertising technology and comprehensive data analytics. The team culture emphasizes entrepreneurial spirit, collaboration, and continuous learning.
The position offers competitive compensation ranging from $190,000 to $225,000 for candidates in California. The role is hybrid-based in Mountain View, CA, allowing for flexibility while maintaining team collaboration. Ideal candidates will have advanced degrees in Computer Science with significant industry experience in machine learning, demonstrating both technical expertise and leadership capabilities.
This opportunity is perfect for those passionate about applying machine learning to real-world advertising challenges, working with large-scale data, and leading technical teams. The role offers exposure to the latest ML technologies and the chance to work with unique Samsung proprietary data, making it an excellent opportunity for career growth in the intersection of machine learning and advertising technology.
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
- Work with ML platform and serving teams to deploy and streamline ML 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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