Senior Machine Learning Engineer
2 days ago
Samsung Electronics America North America is a leading advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising platform.
As part of an international organization like Samsung, you will work on challenging projects with stakeholders and teams around the globe. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.
Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine learning techniques to improve our existing systems and products and create new revenue streams. You will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
About the Role
- You will lead a team to deliver production-grade machine learning solutions with notable business impact from end to end.
- You will design, develop, and deploy scalable low-latency machine learning products.
- You will communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps.
- You will closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines.
- You will optimize and scale up existing machine learning products.
- You will closely work with the MLOps team to ensure product health.
- You will research the latest machine learning technologies and keep up-to-date with industry trends and developments.
Requirements
- A Master's or PhD degree in Computer Science or related fields.
- 5+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.
- 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 (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.
- Strong communication and interpersonal skills to drive cross-functional partnerships.
The estimated salary for this role is between $240,000 and $280,000 per year, depending on your relevant skills and experience.
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