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 building intelligent advertising platforms using Samsung's comprehensive proprietary data.
The position offers a unique opportunity to work on cutting-edge machine learning projects with real-world impact in the advertising industry. As part of Samsung Ads, you'll be working in a rapidly growing division that enables brands to connect with Samsung TV audiences through data-driven advertising solutions.
The role requires a blend of technical expertise in machine learning and practical engineering skills. You'll be responsible for leading a team in developing and deploying large-scale machine learning products, working with state-of-the-art technologies, and collaborating with top-notch researchers and engineers. The position involves end-to-end ownership of ML solutions, from design to production deployment.
Key aspects of the role include:
- Leading production-grade ML solution development
- Designing and implementing scalable, low-latency ML products
- Working with various stakeholders to align technical solutions with business needs
- Collaborating with ML platform teams for efficient deployment
- Staying current with latest ML technologies and industry trends
The ideal candidate should have advanced education in Computer Science (Master's or PhD) with significant industry experience in machine learning. Strong programming skills, experience with ML frameworks, and knowledge of big data tools are essential. The role offers competitive compensation ($240,000-$280,000) and the opportunity to work in a hybrid setting in Mountain View, CA.
This position is perfect for someone who wants to make a significant impact in the advertising technology space while working with cutting-edge ML technologies at a global technology leader. The role combines technical leadership, hands-on development, and strategic thinking in an innovative and collaborative environment.
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 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
- 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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