Software Engineer, Monetization ML Infrastructure

OpenAI

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Research Services 👥 201 employees 📍 San Francisco, CA, US Est. 2015

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with…

Job Overview

We’re looking for an experienced Software Engineer to help build the machine learning infrastructure that powers OpenAI’s monetization and ads systems. In this foundational role, you’ll design and develop the platform layer that enables teams to build, train, deploy, serve, monitor, and continuously improve machine learning models used across advertising and monetization products.

This role sits at the intersection of machine learning systems, distributed infrastructure, and monetization, offering the opportunity to shape the core platforms that help translate model innovation into measurable business impact.

Key Responsibilities

• Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.


• Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models.


• Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.


• Develop systems that safely and reliably move models from experimentation into production environments.


• Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability.


• Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.


• Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.


• Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems.

Required Qualifications

• Have 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure.


• Have experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving.


• Have worked with high-volume data pipelines and infrastructure handling large-scale online systems.


• Have experience designing reliable, low-latency systems with strong operational and observability practices.


• Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring.


• Have experience improving infrastructure performance, scalability, and reliability.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

Benefits

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

401(k) retirement plan with employer match

Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

Mental health and wellness support

Employer-paid basic life and disability coverage

Annual learning and development stipend to fuel your professional growth

Daily meals in our offices, and meal delivery credits as eligible

Relocation support for eligible employees

Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.