RZR Global Inc.
Mobile Advertising
SeniorMachineLearningEngineer
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“Senior Machine Learning Engineer at RZR Global Inc.. Skills: Machine Learning, Model Development, Production Systems. Lead development of complex ML models. Design scalable evaluation frameworks”
What You'll Achieve.
Raise execution standards; Drive measurable business impact; Improve inference latency; Drive measurable uplift
Industry & Context.
Diagnosing training/serving gaps; Diagnosing feature drift; Diagnosing data quality issues
What They're Looking For.
Must Have
Bachelor's or Master's degree, 4–7 years of professional experience, End-to-end model development, Model deployment, Production monitoring, Leading complex model development, Python proficiency, Big data tools experience, ML libraries experience, Designing evaluation frameworks, Diagnosing training/serving gaps, Diagnosing feature drift, Diagnosing data quality issues, Coordinating cross-team rollouts, Influencing execution standards, Grasp of probability, Grasp of statistics, Grasp of experimental design, Excellent communication skills
Nice to Have
System programming languages experience, Online inference systems experience, gRPC/REST model endpoints experience, Streaming feature pipelines experience, Ad-tech domain knowledge, Contextual bandits experience, Multi-armed bandit frameworks experience, Reinforcement learning in production experience, MLOps tooling familiarity, Experiment tracking familiarity, Orchestration familiarity, Model registries familiarity
What You'll Do.
Lead development of complex ML models
Design scalable evaluation frameworks
Own deployment of new models
Strengthen real-time monitoring systems
Anticipate scaling constraints
Improve inference latency
Coordinate cross-functional rollout
Eliminate recurring prediction instability
Mentor junior ML contributors
Protect production systems
Drive measurable uplift
How You'll Work.
Team & Collaboration
Cross-functional rollout; Engineering stakeholders; Product stakeholders; Analytics stakeholders
Communication Scope
Explain technical tradeoffs
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 looking for a Senior Machine Learning Engineer who can independently lead complex model development, drive measurable business impact, and raise execution standards across the team. You will own end-to-end delivery of models and systems - from problem framing and data pipeline design through training, evaluation, deployment, and monitoring - within our programmatic DSP. You will also coordinate cross-functionally, mentor junior contributors, and protect production stability while pushing the frontier on model quality and iteration speed. In addition to your primary focus area, you will support the team on conversion models as needed. Key Responsibilities Lead development of complex ML models that directly impact business KPIs (campaign selection, conversion prediction). Design and own scalable evaluation frameworks — offline metrics, backtesting, and online A/B analysis — ensuring reliable decision-making. Own deployment of new models, tools, and architectural improvements end-to-end, including rollback plans and monitoring. Strengthen real-time monitoring systems to detect performance degradation early and trigger appropriate responses. Anticipate scaling constraints in training infrastructure and serving latency; proactively address bottlenecks. Improve inference latency without degrading model performance. Coordinate cross-functional rollout of model changes with
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