ironquill.tech/board

$ cat jobs/ai-scientist-maki-1d7175259498.json

AI Scientist

Maki·Worldwide·Paris·mid
llm
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ABOUT THE SCIENCE TEAM At the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart. We don’t just create and validate assessments—we innovate. Our work spans: - Expanding a cutting-edge library of tests and tools. - Designing bespoke activities and experiences for clients. - Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency. - Leveraging psychometric expertise to build reliable, valid, and impactful assessments. - Developing tools that analyze candidate and job data to predict performance and potential with precision. - Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention. - Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports. - Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices. - Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively. As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards. Your impact as a AI Scientist will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients. ABOUT THE ROLE The AI Scientist works at the intersection of psychometrics, AI, and research, ensuring that Maki’s automated scoring systems are scientifically robust, fair, and continuou

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