Software Engineer, Monetization ML Infrastructure

About the Role

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

As a software engineer on the monetization team, you will be working on complex problems, collaborating with cross-functional teams, and developing innovative solutions. Your expertise in software engineering, machine learning, and data pipelines will be essential in driving the development of the company's monetization and ads systems.

What You Will Do

• 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
• Participate in the development of the company's technical vision and strategy, ensuring alignment with business objectives

What We Are Looking For

• 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure
• Experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving
• Experience working with high-volume data pipelines and infrastructure handling large-scale online systems
• Experience designing reliable, low-latency systems with strong operational and observability practices
• Comfort working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring
• Experience improving infrastructure performance, scalability, and reliability
• Strong foundation in computer science, software engineering, and machine learning
• Excellent collaboration, communication, and problem-solving skills
• Ability to work in a fast-paced environment, prioritizing tasks and managing multiple projects simultaneously

Nice to Have

• Experience with cloud-based technologies, such as AWS or Google Cloud
• Familiarity with containerization using Docker and Kubernetes
• Knowledge of machine learning frameworks, such as TensorFlow or PyTorch
• Experience with agile development methodologies and version control systems, such as Git
• Familiarity with security and compliance protocols, ensuring the protection of sensitive data

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health insurance, including medical, dental, and vision
• Flexible PTO policy, allowing for a healthy work-life balance
• Access to a wide range of learning and development opportunities, including conferences, workshops, and online courses
• Remote work stipend, providing support for home office setup and internet expenses
• Collaborative and dynamic work environment, with a strong emphasis on teamwork and innovation
• Opportunity to work on cutting-edge projects, developing innovative solutions that impact the company's growth and success

• Tip: Highlight your experience with machine learning, data pipelines, and software engineering, as these skills are essential for this role.
• Be prepared to discuss your approach to designing and developing scalable ML infrastructure, including data processing, feature engineering, and model training.
• Showcase your ability to collaborate with cross-functional teams, including product engineers, data scientists, and monetization teams, to accelerate the development and deployment of advertising systems.
• Emphasize your experience with agile development methodologies, version control systems, and cloud-based technologies, as these are highly valued in this role.
• When discussing your portfolio, focus on projects that demonstrate your expertise in building large-scale distributed systems or machine learning infrastructure, and be prepared to explain your design decisions and problem-solving approach.
• During salary negotiations, consider the company's overall compensation package, including equity and benefits, and be prepared to discuss your expectations and requirements.
• Be aware of the company's culture and values, and be prepared to discuss how your skills and experience align with these, demonstrating your potential for success in this role.