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Posted 11 hours ago
Machine Learning Engineer
RZR GlobalMachine Learning Engineer
Requirements
Bachelor's degree in technical field, 2+ years ML experience, Proficiency in Python and SQL, Experience with regression, classification, and clustering, Knowledge of Spark, TensorFlow, or PyTorch
Skills
PythonSQLTensorFlowPyTorchSpark
About the role
About the Company
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models.
Responsibilities
- Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud
- Collaborate with senior data scientists and cross-functional teams to integrate models into production workflows
- Analyze the impact of integrating new data sources and features into models
- Build and maintain data pipelines to process and prepare large datasets for model training and evaluation
- Contribute ideas and assist in testing new tools, methodologies, and technologies
- Document experiments, assumptions, and outcomes to maintain reproducibility
Requirements
- Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field
- At least 2 years of professional experience in machine learning, statistical analysis, and data analysis
- Experience with machine learning techniques such as regression, classification, and clustering
- Proficiency in Python and SQL
- Familiarity with big data tools like Spark and ML libraries such as TensorFlow, PyTorch, or Scikit-Learn
- Strong grasp of probability, statistics, and data analysis principles
Preferred Qualifications
- Familiarity with system programming languages including C++ and Rust
- Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
- Ad-tech familiarity including auction dynamics, pacing, fraud signals, and creative personalization
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Get started — it's freeMachine Learning Engineer
RZR Global · Beijing
