Research Engineer, Monetization

OpenAI • San Francisco, CA

1d

About The Position

As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.
In this role, you will:
Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

Requirements

• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models
• Proficiency in frameworks like PyTorch or Tensorflow
• Strong foundation in data structures, algorithms, and software engineering principles.
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross-functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

Nice To Haves

• Experience with search relevance, ads ranking or LLMs is a plus.
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization

Responsibilities

• Design and deploy advanced machine learning models that solve real-world problems.
• Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
• Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
• Contribute to projects that require cutting-edge technology and innovative approaches.
• Stay ahead of the curve by engaging with the latest developments in machine learning and AI.
• Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
• Monitor and maintain deployed models to ensure they continue delivering value.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees