RZR Global Inc.
Mobile advertising
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at RZR Global Inc.. Skills: Machine Learning, Data Pipelines, Python, SQL. Support development of machine learning models. Address challenges in programmatic advertising”
Industry & Context.
Data analysis; Statistical analysis
What They're Looking For.
Must Have
Bachelor's in Mathematics, Physics, Computer Science, or related technical field, 2 years of professional experience in machine learning, statistical analysis, and data analysis, Experience with regression, classification, and clustering, Proficiency in Python and SQL, Familiarity with big data tools (e.g., Spark), Familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn), Grasp of probability, statistics, and data analysis principles, Ability to work effectively in a team environment, Good communication skills
Nice to Have
Familiarity with C++ and Rust, Exposure to online inference systems, Exposure to gRPC/REST model endpoints, Exposure to streaming features (Kafka/Flink), Ad-tech familiarity
What You'll Do.
Support development of machine learning models
Address challenges in programmatic advertising
Predict user responses
Forecast bid landscapes
Collaborate with senior data scientists
Collaborate with cross-functional teams
Integrate models into production workflows
Analyze impact of new data sources and features
Maintain data pipelines
Process large datasets
Prepare large datasets for model training
Prepare large datasets for model evaluation
Contribute ideas for new tools
Assist in testing new tools
Maintain reproducibility
How You'll Work.
Team & Collaboration
Cross-functional teams; Senior MLE; Product teams; Engineering teams; Analytics teams
Communication Scope
Explain complex concepts
Full Job Description
Who are we? 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. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. The role? We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions. What will you do? 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 (product, engineering, and analytics) to integrate models into production workflows. Analyze the impact of integrating new data sources and features into our 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 to improve our machine learning capabilities. Document experiments, assumptions, and outcomes; maintain reproducibility What are we looking for? 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 l
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