Head of Machine Learning

Aarki; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

A leading mobile advertising company is seeking a Head of Machine Learning to oversee the development of their machine learning platform. The ideal candidate will have over 7 years of experience in production machine learning systems, strong programming skills in Python and a systems language, and the ability to lead a team. This role requires fluency in Mandarin and offers the opportunity to work in a dynamic and innovative environment in San Francisco.

Qualifications

• 7+ years of experience focused on building production ML systems.
• Experience taking ML models from research to production at scale.
• Excellent communication skills and ability to collaborate across teams.
• Experience with large-scale data pipelines and training infrastructure.
• Comfortable in early-stage environments where you may be both architect and 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.

Responsibilities

• Design and build next generation production ML systems.
• Prototype models and ship production systems.
• Build and lead the machine learning team.
• 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.

Skills

Production machine-learning systems

Python programming

C++/Java/Rust/Go programming

Large-scale data pipelines

Team leadership

Fluent Mandarin

ML systems

Leadership

Communication

Mandarin

Tools

Spark

ClickHouse

AeroSpike

Prefect

Job description

About RZR Global

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.