OpenAI is seeking a Research Engineer for their Trustworthy AI initiative within the Safety Systems team. This role combines technical expertise with critical research in AI safety, focusing on ensuring AI systems are deployed responsibly and beneficially to society.
The position is based at OpenAI's San Francisco headquarters, where you'll join a team dedicated to translating complex policy challenges into actionable technical solutions. The role requires a minimum of 3 years of research experience, with strong proficiency in Python and expertise in AI safety concepts including RLHF, adversarial training, and LLM evaluations.
As a Research Engineer, you'll be at the forefront of developing methods to incorporate public input into model values, studying societal impacts of AI models, and strengthening external validation processes. The role offers a competitive compensation package of $380,000 plus equity, along with relocation assistance for new employees.
OpenAI's mission centers on developing safe and beneficial artificial general intelligence (AGI), and this role is crucial in that journey. The ideal candidate will combine technical expertise with a deep understanding of socio-technical issues, thriving in an environment that tackles large-scale, complex problems with substantial resources.
The Safety Systems team plays a vital role in OpenAI's broader mission, ensuring that advanced AI systems are developed with robust safety measures and societal benefits in mind. This position offers the opportunity to work on cutting-edge AI technology while directly contributing to its safe and ethical deployment.
The role demands someone who can bridge the gap between technical implementation and policy considerations, working on full-stack policy problems and developing methods for public input into model values. You'll be part of a team that shapes how increasingly intelligent systems interact with and benefit society.
This is an excellent opportunity for someone passionate about AI safety, with a strong technical background and the ability to work on interdisciplinary challenges. The position offers the chance to make a significant impact on the future of AI development while working with some of the most advanced AI systems in the world.