--- title: 'Head of Machine Learning at RZR Global Inc.' canonical: 'https://feeny.ai/job/head-of-machine-learning-rzr-global-inc-san-francisco-0ce3k62h6qb2' type: 'job' last_seen: '2026-09-10' --- # Head of Machine Learning at RZR Global Inc. - **Company:** RZR Global Inc. - **Location:** San Francisco, CA - **Posted:** 2026-03-17 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/rzr/jobs/4185320009 ## 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. ## 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. ## About RZR Global Inc. ## Company Overview - **One-liner**: RZR is an AI‑supervised growth marketing intelligence platform that unifies mobile user acquisition, retargeting, CTV, and influencer campaigns into a single performance system. - **Entity Type**: Private (no funding round disclosed) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available; the company has been operating for over a decade (previously known as Aarki) - **Founders**: Not publicly available ## Core Business - **Primary industry**: Advertising Services / Programmatic AdTech - **Target customers**: B2B – mobile app marketers, gaming studios, consumer brands, entertainment, food & beverage, retail - **Mission statement**: “To make brands impactful at scale.” ## Products & Services - **[Encore](https://www.rzr.com/encore/encore)**: Proprietary AI‑supervised machine learning bidding engine. Uses multi‑stage deep neural networks to predict install probability, purchase probability, and expected lifetime value at the impression level. Powers bid decisions across mobile UA, retargeting, and CTV. - **User Acquisition**: Identifies and acquires high‑LTV users before competitors bid on them, optimizing across SKAN, Android, and real‑time attribution environments. - **Retargeting**: Re‑engages lapsed users with the highest probability to return, spend, and stay active. - **CTV**: Reaches audiences in the living room with full‑screen creative and feeds warm audiences into mobile activation. - **Influencer**: Activates social proof at scale; performance data feeds back into the optimization loop. ## Market Standing - **Valuation / Market Cap**: Not disclosed - **Key Metric**: 65 employees (as of 2026); four owned‑and‑operated data centers processing 6M+ queries per second - **Notable Investors / Partners**: Not publicly available - **Growth Signals**: Global expansion with offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul; recent rebrand from Aarki to RZR signals strategic evolution toward a multi‑channel, retention‑led platform. ## Competitive Advantages - **Proprietary neural architecture** built on over a decade of performance data - **AI‑supervised machine learning** – human analysts monitor calibration, reallocate budgets, and direct traffic toward highest‑value cohorts, keeping models aligned to real business goals - **Cross‑channel learning** – audience signals, bidding logic, and performance learnings carry across mobile UA, retargeting, CTV, and influencer campaigns - **Owned infrastructure** – four data centers give full control over latency, scale, and data privacy - **iOS privacy resilience** – uses contextual signals and synthetic data to maintain prediction accuracy without IDFA ## Strategic Focus - **Retention‑led growth** across every channel, optimizing for lifetime value rather than single events - **Connected intelligence** – unifying mobile, TV, and social into one learning system - **Expanding CTV and influencer** as high‑attention channels that feed back into the mobile performance loop - **Continued investment in AI/ML** to compound performance over time ## Why Work Here - **Culture**: “Intelligence is measured by the impact it creates.” The company emphasizes hiring smart people who make intelligent decisions. - **Global team**: Offices in 7 countries across North America, Europe, Asia, and the Middle East – opportunities for cross‑cultural collaboration. - **Engineering focus**: Deep work in neural architecture, real‑time bidding, large‑scale data processing (6M+ queries/sec), and multi‑stage ML models. - **Remote / hybrid**: Not explicitly stated; given multiple office locations, a hybrid or office‑based model is likely. - **Perks**: Not publicly detailed, but the company highlights a “connected team delivering retention‑led growth at global scale” and a mission‑driven environment. ## Sources 1. [RZR Homepage](https://www.rzr.com/) 2. [RZR About Page](https://www.rzr.com/about) 3. [RZR Product Page](https://www.rzr.com/product) 4. [RZR Encore Page](https://www.rzr.com/encore/encore) 5. [RZR LinkedIn](https://www.linkedin.com/company/rzr) ## Other roles at RZR Global Inc. - [Growth Manager, Americas](https://feeny.ai/job/growth-manager-americas-rzr-global-inc-united-states-z5jtsq17sgh1) — United States - [Accounting Manager, China](https://feeny.ai/job/accounting-manager-china-rzr-global-inc-beijing-64xf4tv09mp6) — Beijing, China - [Machine Learning Engineer, Infra (MLOps)](https://feeny.ai/job/machine-learning-engineer-infra-mlops-rzr-global-inc-beijing-y3s35t2kgar7) — Beijing, China - [Regional Director of Revenue, InSEA](https://feeny.ai/job/regional-director-of-revenue-insea-rzr-global-inc-bangalore-rx9559k4718b) — Bangalore, India - [Director of Marketing - China](https://feeny.ai/job/director-of-marketing-china-rzr-global-inc-beijing-8yk1vb80y68a) — Beijing, China - [Senior Learning & Development](https://feeny.ai/job/senior-learning-development-rzr-global-inc-las-vegas-nevada-emn0v9k87wq7) — Las Vegas Nevada, United States - [Admin and Workspace Experience Manager](https://feeny.ai/job/admin-and-workspace-experience-manager-rzr-global-inc-bengaluru-b7csrgab0spt) — Bengaluru, India - [Senior / Lead Analyst- PH (L4)](https://feeny.ai/job/senior-lead-analyst-ph-l4-rzr-global-inc-manila-amytby6mcbwj) — Manila, Philippines - [Associate Analyst (L2)](https://feeny.ai/job/associate-analyst-l2-rzr-global-inc-metro-manila-d4159c587r45) — Metro Manila, Philippines - [Analyst- PH (L3)](https://feeny.ai/job/analyst-ph-l3-rzr-global-inc-manila-vx1t48sypwam) — Manila, Philippines