Artificial Intelligence/Machine Learning Data Science Engineer

Penn State University • University Park, IL

6d • $81,312 - $122,016 • 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

• Applicants must demonstrate knowledge of Linux-based computing, high-performance computing, GPU-enabled environments, distributed or cluster-based systems, and AI infrastructure, along with experience developing or supporting computational platforms, research software, or technical workflows.
• Candidates should have professional or research experience applying artificial intelligence, machine learning, deep learning, large language models, predictive analytics, or related methods, including application development in Python and experience with modern AI/ML frameworks such as TensorFlow.
• The successful candidate will be able to develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational or system issues; work productively with interdisciplinary researchers; and 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
• impeccable ethics and integrity with a strong work ethic
• strong interpersonal and written skills
• ability to work well in a team environment

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 is desirable.
• Experience operating, maintaining, upgrading, validating, benchmarking, or optimizing GPU clusters and other AI research infrastructure; working with AI systems; collaborating with hardware, software, cloud, or systems vendors; and 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 is welcome.
• Candidates who have developed technical documentation, delivered workshops or training, supported researchers directly, or contributed to reproducible and reliable research software are especially encouraged to apply.
• A PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred.

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.
• RISE AI/ML Engineers use their skills in machine learning, deep learning, AI, big data and software application and development to provide these skills to assist researchers in developing solutions for their research projects and grants.
• Using a software engineering approach, our AI/ML engineer will formulate and define scope and objectives and detailed specifications for assigned projects; provide guidance or develop program design, coding, testing, debugging, and documentation; advance researchers' goals by providing or enabling scientific data solutions through technical consulting.

Benefits

• comprehensive medical, dental, and vision coverage
• robust retirement plans
• substantial paid time off which includes holidays, vacation and sick time
• generous 75% tuition discount, available to employees as well as eligible spouses and children

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level