Head of Machine Learning

RZR; San Francisco (CA); On-site; USD 250,000 - 380,000; Full time

Job summary

RZR Global is seeking a Head of Machine Learning to lead the development of our next-generation ML platform. You will oversee infrastructure for training and serving deep learning models powering our Demand Side Platform.

Our ML systems support real-time bidding, ranking, pacing, and fraud detection at massive scale. This role combines technical leadership, hands-on development, and organizational building, with end-to-end ownership in a fast-growing, privacy-focused advertising environment.

Qualifications

• 7+ years of experience building production machine learning systems.
• Experience taking ML models from research to production at scale.
• Strong programming background in Python and at least one systems language.
• Experience with large-scale data pipelines and training infrastructure.
• Ability to operate as architect and implementer in early-stage environments.
• Excellent communication across engineering, product, and leadership.
• Fluent Mandarin.

Responsibilities

• Design and build production ML system with training pipelines and real-time inference.
• Prototype models and ship production systems in codebase.
• Lead ML team, hire and mentor, shape engineering culture.
• Collaborate with engineering to support low-latency predictions.
• Identify high-impact ML opportunities in bidding, ranking, pacing, fraud.
• Establish experimentation, evaluation, monitoring, and improvement practices.
• Translate business goals into measurable ML improvements.

Skills

Python

C++/Java/Rust/Go

ML systems

Data pipelines

Real-time inference

Team leadership

Mandarin

Cross-functional

Tools

Spark

ClickHouse

Aerospike

Prefect

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.

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 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 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.

Required Skills / Experience

• 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-Have

• 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.