Monetization ML Engineer: AI/ML at Scale

OpenAI; San Francisco (CA); On-site; USD 381,000 - 555,000; Full time

Benefits offered by this job

Relocation support

Learning stipend

Meal programs

Job summary

OpenAI in San Francisco is hiring a Machine Learning Engineer for Monetization AI/ML to deploy state-of-the-art models and translate research into scalable, privacy-preserving monetization solutions.

You will collaborate with researchers, software engineers, and product managers to build AI-powered, user-first experiences while maintaining high engineering standards and rapid iteration.

Qualifications

• Master's/PhD in CS/ML/DS or related field.
• Strong background in deep learning and transformers.
• Proficiency with PyTorch or TensorFlow required.

Responsibilities

• Design and deploy advanced ML models that solve real-world problems.
• Collaborate with researchers, engineers, and product managers to deliver AI-powered solutions.
• Implement scalable data pipelines and production-ready models.
• Stay current with ML advances and lead by example in engineering practices.
• Monitor deployed models to ensure ongoing value delivery.

Skills

Deep learning

Transformers models

PyTorch

TensorFlow

Education

Master's or PhD in Computer Science / ML / DS

PhD preferred

Tools

PyTorch

TensorFlow

Job description

OpenAI in San Francisco is hiring a Machine Learning Engineer for Monetization AI/ML to deploy state-of-the-art models and translate research into scalable, privacy-preserving monetization solutions.

You will collaborate with researchers, software engineers, and product managers to build AI-powered, user-first experiences while maintaining high engineering standards and rapid iteration.