Top Analysis Reporting Jobs

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.

As a Scientist in Human-Computer Interaction, you will develop innovative tools and interfaces to enhance user interaction with technology. Your role involves researching user needs, creating prototypes, directing technical work, and collaborating across disciplines. Your expertise will guide the team in exploring areas like augmented reality, human-robot interaction, and decision-support systems while contributing to technical proposals and publications.

The Research Scientist role at Google DeepMind involves developing generative AI models to innovate video creation tools. The position requires pioneering methods to enhance model capabilities and designing user experiences to empower creators, while collaborating with various teams to address user needs.

As a Compensation Analyst II, you will leverage analytical skills to support compensation decision-making and manage key compensation processes like merit and bonus administration. You will analyze complex data, conduct market pricing, and ensure competitive compensation packages, thereby impacting the rewards strategies at CarMax.

The People Analytics Lead drives data-driven decisions to enhance employee satisfaction and business outcomes within HR. Responsibilities include developing analytics strategies, leading projects, and utilizing advanced statistical methods for insights. The role also requires collaboration with business teams and presenting findings to senior leadership.

The role involves analyzing and deploying fraud risk models and applications, optimizing the balance of risk and experience in payment networks, implementing fraud detection strategies, and communicating emerging risks to stakeholders.

As an AI Research Scientist focusing on engineering and operations, you will bridge theoretical research and practical implementation of AI technologies. Your work will involve developing machine learning models, managing server infrastructure, writing code for AI applications, and collaborating with cross-functional teams to generate actionable insights from complex data sets.