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.
We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on development, and organizational building. You will be responsible for the infrastructure for training and serving the deep learning models powering our Demand Side Platform.
Our machine learning systems power real-time advertising use cases including bidding, ranking, pacing, and fraud detection. These models operate in extremely latency-sensitive environments, serving millions of predictions per second. You 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.
Key ResponsibilitiesDesign 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.
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.
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.
RZR is an equal opportunity employer
RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you.
RZR provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Skills Required
- 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.
- 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.
RZR Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RZR and has not been reviewed or approved by RZR.
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Flexible Benefits — Job listings and company descriptions highlight remote-friendly or flexible work arrangements across global offices, suggesting adaptability in how benefits are delivered across locations.
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Pay Growth & Progression — Technical and specialized roles are portrayed as competitively paid relative to local markets, indicating opportunities for solid compensation in higher-skill positions.
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Healthcare Strength — Employer-provided health and welfare benefits are referenced, implying access to standard medical coverage even if specific plan details are not publicly disclosed.
RZR Insights
What We Do
RZR powers performance for the world's most ambitious brands through proprietary neural architecture that optimizes across user acquisition, retargeting, CTV, and influencer campaigns as one connected performance system. With four owned-and-operated data centers that process 6M+ queries per second, RZR turns signals into strategy and impressions into impact. Trusted by brands across gaming, consumer, food and beverage, retail, and entertainment. Built on over a decade of performance data and backed by AI and ML experts and industry veterans across offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul. RZR delivers retention-led growth intelligence: faster, sharper, and built for performance at scale.
