Full Stack Developer, AI and LLM
NVIDIAFull Time
Junior (1 to 2 years)
Candidates should have a strong technical background with a proven track record of building and maintaining systems for analyzing large datasets and fighting abuse. Proficiency in data analysis, SQL, Python, and novel AI techniques is required. Experience in engineering and project management, particularly in security, intelligence, or data analysis products, is also necessary. A strong belief in the value of AI and passion for its responsible use are essential.
The Intelligence Systems Engineer will prototype, build, and maintain at-scale intelligence systems to detect, triage, and monitor signals from open-source and internal data. They will analyze requirements, deliver end-to-end solutions for complex intelligence challenges, and ensure code quality and scalability. This role involves acting as a technical bridge between intelligence needs and technical teams, contributing to technical strategy, and designing user interfaces for investigators. Responsibilities also include prototyping applications to automate workflows, reporting on scaled impact using data analysis and visualization, and working closely with internal stakeholders to address their technical intelligence needs.
Develops safe and beneficial AI technologies
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.