Senior Software Engineer, Applied

at  OpenAI

ABOUT THE TEAM

OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI’s benefits reach everyone. We are looking for visionary Senior Software Engineer to join our Applied Group, where you’ll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.

As a Senior Software 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.

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. Provide technical leadership and mentorship to a team where ideas flow freely and creativity thrives.
• 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: Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• 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.
• 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
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to lead large projects and collaborate effectively 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