RZR Global Inc.

Mobile advertising

MachineLearningEngineer

$115–155k ~AI est. San Francisco, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Machine Learning Engineer at RZR Global Inc.. Skills: Machine Learning, Data Pipelines, Programmatic Advertising. Support development of ML models. Predict user responses”

Industry & Context.

Mobile advertising

What They're Looking For.

Must Have

Bachelor's or Master's degree, 1+ year experience in ML, Experience with regression, Experience with classification, Experience with clustering, Proficiency in Python, Proficiency in SQL, Grasp of probability, Grasp of statistics, Grasp of data analysis

Nice to Have

Familiarity with C++, Familiarity with Rust, Exposure to online inference systems, Exposure to gRPC/REST model endpoints, Exposure to streaming features, Ad-tech familiarity

What You'll Do.

Support development of ML models

Predict user responses

Forecast bid landscapes

Collaborate with senior data scientists

Collaborate with product teams

Collaborate with engineering teams

Collaborate with analytics teams

Integrate models into production

Analyze impact of new data sources

Analyze impact of new features

Maintain data pipelines

Process large datasets

Prepare large datasets

Contribute ideas for new tools

Assist in testing new tools

Assist in testing new methodologies

Assist in testing new technologies

Maintain reproducibility

How You'll Work.

Team & Collaboration

Cross-functional teams; Senior data scientists; 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. Role Overview 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. Key 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 (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 Required Skills / Experience Bachelor’s or Master's degree in Mathematics, Physics, Computer Science, or a related technical field. At least 1 year of professional experience in machine learning, statistical analysis, and data analysis. Exp

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