over 1 year ago
Seoul, Korea, SouthMid Level
Responsibilities
- Design state-of-the-art machine learning models using TensorFlow for real-world, large-scale problems.
- Construct and maintain model-training and model-serving data pipelines using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
- Develop highly scalable model servers on cloud platforms.
- Collaborate with product, account, and infrastructure engineering teams to define future product roadmaps.
Requirements
- An MS or PhD in Computer Science or a related technical field is required.
- Software development experience in machine learning or deep learning is required.
- Fluency in one or more programming languages, including Python, Java, and Golang, is required.
- Knowledge of production-level machine learning applications, including natural language processing, computer vision, recommendation systems, and ranking systems, is required.
- Experience building a highly scalable model or online service system is required.
Benefits
- Global benefits and well-being programs are offered, with details available through Moloco’s benefits overview.
- This is an expression-of-interest, talent-pool position for future opportunities rather than a currently specified opening.
- The role is associated with Moloco’s global offices, including Seoul and other locations.
Categories
About MOLOCO
Moloco builds AI-driven advertising and commerce media software for mobile app marketers, retailers/marketplaces, and streaming services. Its products include Moloco Ads (a performance-focused DSP) and platforms that let retailers and streamers run their own ad businesses, with revenue from ad spend and platform fees. Founded in 2013 and headquartered in Menlo Park, it is privately held with offices across North America, Europe, and Asia.