Machine Learning Model Engineer

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

Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
Design, develop, and deploy scalable low-latency machine learning products
Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps
Closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines
Optimize and scale up existing machine learning products
Closely work with the MLOps team to ensure product health
Closely work with external partners to introduce new machine learning features and tools
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

Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)
Basic knowledge about Amazon Web Services (AWS)
Experience with the advertising industry and real-time bidding (RTB) ecosystem