Description

Job description Overview Join AIR as an Data Science Intern in our Technology Solutions team team during our 2024 Virtual Summer Internship Program. This internship offers a unique opportunity to conduct cutting-edge research at the intersection of mathematics, machine learning, and algorithmic fairness. The successful candidate will have the chance to develop the theoretical and practical foundations for understanding and mitigating bias in large AI models. AIR’s 2024 Summer Internship Program is designed to identify, attract, and hire the best talent that will drive creativity and innovation while enabling the organization to create a diverse and skilled talent pool. Spanning 10 – 12 weeks, AIR’s paid summer program provides interns with various learning and networking opportunities that enhance their skillset and build lasting professional connections. This position is located within AIR’s Data Science and Advanced Analytics (DSAA) group. DSAA employs advanced analytics methods to solve complex research questions, address public policy questions, and to support evidence-based decision-making to solve complex social problems. Our ideal candidate is passionate about ensuring that the transformative power of AI benefits all of society and has a strong drive to explore the ethical implications of emerging technologies. The Technology Solutions team is a vibrant and supportive community dedicated to using data-driven insights to improve decision-making and promote a more just world. We design, architect, develop, and deploy cutting-edge, user-centered solutions, including: • Software development of data collection, processing, and reporting solutions for data-intensive projects • Dissemination of data and information through websites and content management systems • Solving complex problems using machine-learning and artificial intelligence • Data visualization • Online training courses and media development With diversity, equity, and inclusion built into our DNA, we value the contributions of every member of our institution. Use your tech skills for good and collaborate with fellow changemakers in our Technology Solutions team. Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.

Role and Responsibilities

• Responsibilities The responsibilities for the position include: • Conduct literature reviews and perform independent research in the mathematical theory of algorithmic bias. • Develop novel mathematical frameworks to quantify and measure bias in machine learning, deep learning, or transformer-based models. • Design and implement experiments to evaluate the effectiveness of bias detection/mitigation techniques. • Collaborate with senior researchers, mathematicians, data scientists, and engineers to translate research findings into actionable insights. • Contribute to publications and present findings at relevant conferences and workshops. • Assist with a range of mathematical and data science tasks within the DSAA team, as time permits: • * Assist with exploratory data analysis (EDA) on various datasets to uncover patterns, trends, and potential insights. • Contribute to the development of mathematical models for diverse research problems, applying theoretical expertise to real-world challenges. • Support the design and optimization of algorithms to improve the efficiency and accuracy of data processing and analysis tasks. • Participate in preparing and cleaning diverse datasets, ensuring data quality and suitability for analysis. • Collaborate with other data scientists, researchers, and engineers on interdisciplinary projects, sharing mathematical expertise and insights.