Job summary As an AI Safety Researcher you'll design experiments, prototype interventions, and publish findings that turn cutting-edge theory into practical tools for our clients. Responsibilities - Design and run experiments on jailbreak detection, prompt-safety evaluation, bias / toxicity measurement, and drift monitoring. - Prototype safety interventions in Python using PyTorch / JAX / TensorFlow and libraries like LangChain or Tracr. - Collaborate with your teams to refine hypotheses, share results, and prepare submissions to venues such as AIES, FAccT, or NeurIPS workshops. - Support client projects by generating custom test suites, red-team prompts, or interpretability reports under tight timelines. - Document findings in clear technical reports, internal wikis, and client-facing readouts. - Keep a pulse on daily advances in AI safety, summarising relevant papers and open-source releases for the broader team. Qualifications - 3-5 years of hands-on ML or AI research / engineering experience, including 1+ year focused on safety, robustness, or trustworthy AI. - MS in Computer Science, Machine Learning, or a related field or equivalent industry research background. - Demonstrated work with large language models: fine-tuning, evaluation, or safety assessments. - At least one peer-reviewed paper, preprint, or substantial internal research project. - Proficiency in Python and one deep-learning framework (PyTorch, TensorFlow, or JAX). Core skills you'll need - Experimental design & analysis -hypothesis framing, statistics, and reproducibility. - Prompt & policy evaluation , adversarial testing, and basic mechanistic interpretability. - Rapid prototyping -comfortable iterating quickly to test new ideas. - Clear communication -concise technical writing and slide decks for both researchers and clients. - Collaboration & agility -willingness to jump onto a client request or pivot research focus as priorities shift. Why you'll love this role - Work remote - Dual track: Publish high-quality research and see it deployed in weeks, not years. - Mentorship & growth: Work closely with a great team and expand your impact as the team grows. - Fast lane to innovation: Daily access to frontier models and real client problems most researchers never see. - Mission first: Help shape AI systems that are not only powerful but also safe and trustworthy. Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora