About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Institute for Experiential AI (IEAI) is built around the challenges and opportunities made possible by human-machine collaboration. The institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Portland, Maine, with the goal of growing the Maine tech economy, the Roux Institute will be a center of activity for the Institute’s efforts. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & ethics, Neuroscience and Therapeutics discovery. General research and interpersonal skills are especially valued. We are building a new team together to deliver the true promise of AI, which lies at the intersection of humans and intelligent machines. The Culture Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems Summary In this role, you will be responsible for building out key components of data ingestion and transformation, using a combination of strong Java/Scala development skills as well as Big Data processing technologies. As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for it. In the process, you will identify the requirements of new features, and propose design and drive the solution. Minimum Requirements: Education & Experience: Bachelor’s degree in Computer Science, Engineering, or similar disciplines and 5 or more years of professional experience, or can convincingly demonstrate this level of skill. Knowledge and Skills: Expertise writing clear, maintainable, production-level code in Python. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Experience with containerized application development with Docker or Podman. Expertise on ETL pipelines, data migration, data cleaning. Experience with big data pipelines (Apache Spark, Kafka, AirFlow) is a plus Experience with deep learning frameworks, such as Pytorch, is a plus Experience with machine learning frameworks such as SKLearn, AutoML is a plus Experience with vectors, matrix, dataframe libraries such as Numpy, Pandas is a plus Expertise on best practices for data governance, curation, validation, integrity. Expertise on version control best practices. Experience with relational and non-relational databases. Experience preparing well-documented, reproducible results for external stakeholders. Preferred Experience: Expertise in setting up cloud architecture, particularly in AWS Experience working on a collaborative codebase with data science and engineering Data science, analytics, or machine learning. Experience within a particular domain such as healthcare, logistics, genomics. Open source ecosystem contributions or expertise. Values & Abilities: Aptitude to independently learn new technologies, prototype and propose software design and solutions. Ability to communicate effectively across academia and industry. Team-player who can collaborative effectively across many teams within the University. Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University. Entrepreneurial mind-set with an ability to navigate complex structures and processes. Key Responsibilities & Accountabilities: 40% - Build, maintain and improve data pipelines, infrastructure and tools to support Institute projects and operations in data science and AI 10% - Support data scientists and other end users such as faculty and postdocs 20% - Support delivery of practicum courses and other academic programs as subject matter expert 30% - Participate in delivery of projects at the AI Solutions Factory to solve AI problems of industry partners Position Type Information Technology Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.