Research Engineer, Applied AI Engineering

OpenAI • San Francisco, CA

280d

About The Position

As a Research Engineer in OpenAI's Applied 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.

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.
• Familiarity 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.
• 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.
• Engage with the latest developments in machine learning and AI, participate in code reviews, and share knowledge.
• Monitor and maintain deployed models to ensure they continue delivering value.

What This Job Offers

• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 251-500 employees