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 sits at the intersection of advanced advertising technology and machine learning, focusing on enabling brands to connect with Samsung TV audiences through data-driven solutions. As part of Samsung, one of the world's leading technology companies, you'll work on challenging projects with global impact.
The position offers a unique opportunity to work with Samsung's proprietary data to develop and deploy large-scale machine learning products. You'll be part of a world-class organization that values entrepreneurial spirit and collaboration, working alongside talented engineers and top-notch researchers. The role involves leading a team to deliver production-grade ML solutions, designing scalable low-latency products, and staying at the forefront of machine learning technology.
The ideal candidate should have advanced education (Master's or PhD) in Computer Science with significant industry experience in machine learning. Strong technical skills in ML libraries, big data tools, and programming languages like Python and Go are essential. The role requires both technical expertise and leadership abilities, as you'll be communicating with stakeholders and managing cross-functional partnerships.
Samsung Ads offers an environment that encourages learning, problem-solving, and breaking new ground. The compensation range of $240,000 to $280,000 reflects the senior nature of this position. The hybrid work arrangement at the Mountain View office provides flexibility while maintaining collaborative opportunities. This is an excellent opportunity for a seasoned ML professional looking to make a significant impact in the advertising technology space while working with cutting-edge technology and data at scale.
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 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 quick prototypes and proof-of-concepts
- 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
- Experience with production-grade machine learning solutions
- Proficiency in 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
- Familiarity with data structures, algorithms, and software engineering principles
- Proficiency in SQL and databases
- Strong communication and interpersonal skills
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