Samsung Ads is looking to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact by exploring the latest machine learning techniques to improve existing systems and products and create new revenue streams.
Requirements
- Rich hands-on experience with production-grade machine learning solutions
- Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
- Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.)
- Extensive programming experience in Python, Go, or other OOP languages
- Familiarity with data structures, algorithms, and software engineering principles
- Proficiency in SQL and databases
- Basic knowledge about Amazon Web Services (AWS)
Responsibilities
- Design, develop, and deploy scalable low-latency machine learning products
- Optimize and scale up existing machine learning products
- Closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines
- Closely work with the MLOps team to ensure product health
- Research the latest machine learning technologies and keep up-to-date with industry trends and developments
- Create quick prototypes and proof-of-concepts for new features
- Design and implement next-generation machine learning models with advanced technologies
Other
- Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
- Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps
- Closely work with external partners to introduce new machine learning features and tools
- Master’s or PhD degree in Computer Science or related fields
- 6+ years of industry experience with a Master’s degree or 4+ years of industry experience with a PhD degree
