Artificial Intelligence/Machine Learning Data Science Engineer

The Pennsylvania State University•University Park, FL

5d•Onsite

About The Position

The Institute for Computational and Data Sciences (ICDS) at Penn State is seeking an Artificial Intelligence/Machine Learning Data Science Engineer to join our Research Innovations with Scientists and Engineers (RISE) team. ICDS works with researchers from more than 70 academic departments from nearly all of Penn State’s academic colleges and campuses, facilitating new collaborations, funding new areas of research, collaborating to overcome computational and data science challenges, building a diverse community of scholars, and providing a robust supercomputer for the Penn State community, called Roar. ICDS seeks to equip researchers with the most cutting-edge computing tools and resources to further their science, and as a part of ICDS, you will be contributing to this goal.

Requirements

Knowledge of Linux-based computing, high-performance computing, GPU-enabled environments, distributed or cluster-based systems, and AI infrastructure.
Experience developing or supporting computational platforms, research software, or technical workflows.
Professional or research experience applying artificial intelligence, machine learning, deep learning, large language models, predictive analytics, or related methods.
Application development in Python.
Experience with modern AI/ML frameworks such as TensorFlow.
Ability to develop, implement, test, troubleshoot, and optimize AI/ML solutions.
Ability to automate analytical workflows.
Ability to investigate complex computational or system issues.
Ability to work productively with interdisciplinary researchers.
Ability to communicate technical information clearly through documentation, consultation, presentations, and user training.
Bachelor's Degree
1+ years of relevant experience; or an equivalent combination of education and experience accepted.
Authorized to work in the U.S.

Nice To Haves

Experience applying AI, machine learning, statistical modeling, or predictive analytics in health research, healthcare operations, biomedical data, or other applied research settings.
Experience operating, maintaining, upgrading, validating, benchmarking, or optimizing GPU clusters and other AI research infrastructure.
Experience working with AI systems.
Experience collaborating with hardware, software, cloud, or systems vendors.
Experience establishing deployment, testing, validation, security, or performance-monitoring procedures.
Experience with large language models, generative AI, multimodal models, AI agents, reinforcement learning, optimization-based machine learning, scientific computing, SQL, R, MATLAB, C/C++, Power BI, or related tools.
Developed technical documentation.
Delivered workshops or training.
Supported researchers directly.
Contributed to reproducible and reliable research software.
PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred.
Impeccable ethics and integrity with a strong work ethic.
Strong interpersonal and written skills.
Ability to work well in a team environment.

Responsibilities

Provide technical expertise to university constituents in research, specification, design, development, and implementation of AI/ML/DL solutions, combining disciplinary knowledge and technical expertise.
Use skills in machine learning, deep learning, AI, big data and software application and development to assist researchers in developing solutions for their research projects and grants.
Formulate and define scope and objectives and detailed specifications for assigned projects using a software engineering approach.
Provide guidance or develop program design, coding, testing, debugging, and documentation.
Advance researchers' goals by providing or enabling scientific data solutions through technical consulting.