OpenAISan Francisco, CAConducts research on societal impacts of AI models, translates policy problems into technical evaluations, and develops interventions for safe AGI deployment. Requires 3+ years research experience, Python proficiency, and expertise in AI safety techniques like RLHF.
Develops RLHF and post-training methods for personalized, multimodal AI systems on consumer devices, focusing on reward modeling, preference learning, long-horizon evaluation, and alignment with user values. Requires strong ML research background in RLHF and related areas.
Leads Applied ML Research team focused on computer vision and foundation models for AI content creation and world simulation. Requires 5+ years research experience, 1+ year managing teams, and skills in productionizing ML research.
Conducts research on pre-training methodologies for large AI models, develops new architectures and data strategies, runs large-scale experiments, and publishes findings. Requires strong ML fundamentals, Python proficiency, and experience with deep learning frameworks.
Conducts research to advance audio capabilities in AI models, designing and training large-scale multimodal systems, building audio data pipelines, and publishing findings. Requires ML expertise, Python proficiency, and experience with deep learning frameworks.
Conducts experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.