Head of Machine Learning

RZR Global Inc. • San Francisco, CA

9d • Onsite

About The Position

RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. They leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Their audience engagement platform includes creative strategy and execution, handling 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. RZR Global is headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. The Head of Machine Learning will lead the development of the next generation of the machine learning platform, combining technical leadership, hands-on development, and organizational building. This role is responsible for the infrastructure for training and serving the deep learning models powering the Demand Side Platform. The machine learning systems power real-time advertising use cases including bidding, ranking, pacing, and fraud detection, operating in extremely latency-sensitive environments, serving millions of predictions per second. The successful candidate will work closely with engineering and product leadership to translate business challenges into scalable ML solutions. This role is ideal for someone who enjoys building systems and teams from scratch, moving quickly, and owning outcomes end-to-end.

Requirements

• 7+ years of experience with a focus on building production machine learning systems.
• Experience taking ML models from research or prototype to production at scale.
• Strong programming background in Python and at least one systems language (C++, Java, Rust, or Go).
• Experience working with large-scale data pipelines and training infrastructure.
• Comfortable operating in early-stage environments where you may be both the architect and the implementer.
• Strong product intuition and ability to prioritize ML work based on business impact.
• Experience scaling ML teams.
• Excellent communication skills and ability to work across engineering, product, and leadership.
• Fluent Mandarin required.

Nice To Haves

• Experience in advertising technology and real-time systems.
• Experience operating ML infrastructure in on-prem environments using open-source tools including Spark, ClickHouse, AeroSpike, and Prefect.

Responsibilities

• Design and build the next generation production ML system, including training pipelines, feature pipelines, and real-time inference services.
• Work directly in the codebase to prototype models, evaluate approaches, and ship production systems.
• Build and lead the machine learning team, including hiring, mentoring, and establishing engineering culture.
• Partner with engineering to design infrastructure capable of serving millions of low-latency predictions.
• Identify high-impact ML opportunities across bidding, ranking, pacing, fraud detection, and optimization.
• Establish best practices around experimentation, model evaluation, monitoring, and continuous improvement.
• Translate business and product goals into measurable machine learning improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed