---
title: 'Machine Learning Engineer - L3 at RZR Global Inc.'
canonical: 'https://feeny.ai/job/machine-learning-engineer-l3-rzr-global-inc-bengaluru-djy3yqzkrn09'
type: 'job'
last_seen: '2026-10-15'
---

# Machine Learning Engineer - L3 at RZR Global Inc.

- **Company:** RZR Global Inc.
- **Location:** Bengaluru, India
- **Posted:** 2026-05-06
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/rzr/jobs/4241380009

## Job description

Who are we?

RZR  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 seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.

## Key Responsibilities

- Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
- Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
- Analyze the impact of integrating new data sources and features into our models.
- Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
- Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
- Document experiments, assumptions, and outcomes; maintain reproducibility

Required Skills / Experience

- Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field.
- 1-3 years of professional experience in machine learning, statistical analysis, and data analysis.
- Experience with machine learning techniques such as regression, classification, and clustering.
- Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong grasp of probability, statistics, and data analysis principles.
- Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.

Nice-to-Have

- Familiarity with system programming languages including C++ and Rust is a plus.
- Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
- Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.

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.

## 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.

- [Director of Legal](https://feeny.ai/job/director-of-legal-rzr-global-inc-bay-area-mp2mxa3my61m) — Bay Area, CA / New York, NY / Los Angeles, CA / Las Vegas, NV
- [Executive Assistant & Workplace Manager (SF)](https://feeny.ai/job/executive-assistant-workplace-manager-sf-rzr-global-inc-san-francisco-zj2yav8wr3rt) — San Francisco, CA
- [Senior Growth Manager](https://feeny.ai/job/senior-growth-manager-rzr-global-inc-bengaluru-8ycrjfxs5cvm) — Bengaluru, India
- [Senior / Lead Analyst- PH (L4)](https://feeny.ai/job/senior-lead-analyst-ph-l4-rzr-global-inc-manila-99craecsfbsp) — Manila, Philippines
- [Associate Analyst (L2)](https://feeny.ai/job/associate-analyst-l2-rzr-global-inc-metro-manila-5kgr0cb0qv9g) — Metro Manila, Philippines
- [Analyst- PH (L3)](https://feeny.ai/job/analyst-ph-l3-rzr-global-inc-manila-m85vz4w7xvwm) — Manila, Philippines
- [Sr Director, People (SF-Hybrid)](https://feeny.ai/job/sr-director-people-sf-hybrid-rzr-global-inc-san-francisco-gpfdd3n7k0jw) — San Francisco, CA
- [Software Engineer - Playable Ads (Creative Engineering)](https://feeny.ai/job/software-engineer-playable-ads-creative-engineering-rzr-global-inc-bengaluru-6rze52njwa8e) — Bengaluru, India
- [Senior UI/UX Designer](https://feeny.ai/job/senior-ui-ux-designer-rzr-global-inc-bengaluru-hj73bn7say6n) — Bengaluru, India
- [Senior Director of Global Customer Success](https://feeny.ai/job/senior-director-of-global-customer-success-rzr-global-inc-san-francisco-2fwxhw6jgk33) — San Francisco, CA