Monetization ML Engineer: AI for Impact & Scale

OpenAI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

OpenAI is seeking a Research Engineer in the Monetization Group to deploy state-of-the-art models in production and turn research breakthroughs into practical AI-driven solutions. You will work with researchers, engineers, and product managers to address complex business challenges with robust, scalable systems.

You will design, implement, and optimize models and data pipelines, ensuring production readiness while maintaining rigorous safety and privacy standards.

Qualifications

• Master's/ PhD in Computer Science, ML, Data Science or related field.
• Strong background in deep learning and transformers models.
• Proficiency with PyTorch or TensorFlow frameworks.
• Solid foundation in data structures and algorithms.
• Experience with research-to-production workflows and scalable ML systems.

Responsibilities

• Design and deploy advanced ML models solving real-world problems.
• Collaborate with researchers and software engineers on AI-powered solutions.
• Build scalable data pipelines and production-ready models.
• Lead by example in engineering practices and code quality.
• Monitor deployed models and ensure ongoing value delivery.

Skills

Deep learning

Transformers

PyTorch

TensorFlow

Data structures

Algorithms

Software engineering

Education

Master's/ PhD in CS/ML/DS

Tools

PyTorch

TensorFlow

Job description

OpenAI is seeking a Research Engineer in the Monetization Group to deploy state-of-the-art models in production and turn research breakthroughs into practical AI-driven solutions. You will work with researchers, engineers, and product managers to address complex business challenges with robust, scalable systems.

You will design, implement, and optimize models and data pipelines, ensuring production readiness while maintaining rigorous safety and privacy standards.