The Applied AI Research team works on innovative solutions to solve practical real-world problems with direct impact on users of the OpenAI API. Powerful language models like GPT-3 excel at learning behavior patterns from the pre-training or fine-tuning datasets. Thus the quality and scale of the datasets will play a crucial role in any applications built on top of such models. We seek a Machine Learning Engineer to help design and build the pipelines to collect and manage high-quality data for various projects within Applied AI.
Candidates for the Machine Learning Engineer, Data Quality role should have good engineering skills, industry experience in Machine Learning / Data Science, knowledge of processing a large amount of data in various formats and passion for building AI products.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Data Infrastructure
Machine Learning Engineer
Anywhere in the U.S. (Remote)
Engineering Manager, Data Engineering
Machine Learning Scientist, User Behavior
Software Engineer - Recommendations/Machine Learni...
San Francisco, CA