Senior Machine Learning Engineer

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.

• 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 engineering, product, and analytics stakeholders.