About the company
OpenAIās mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team is composed of PR/Media Relations, Events, Design, and other external-facing functions. The teamās ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Events team is a dynamic group dedicated to crafting extraordinary experiences that encompass our company's values and mission. Our team is driven by a passion for bringing people together to connect in meaningful ways.
Job Summary
In this role, you will:
šInnovate 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. šCollaborate 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. šOptimize 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. šLearn 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. šMake 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.
You might thrive in this role if you:
šMaster's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. šDemonstrated experience in deep learning and transformers models šStrong foundation in data structures, algorithms, and software engineering principles. šExperience with search relevance, ads ranking or LLMs is a plus. šAre familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization šExcellent problem-solving and analytical skills, with a proactive approach to challenges.
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