Artificial Intelligence/Machine Learning Data Science Engineer

Penn State University; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Penn State University’s Institute for Computational and Data Sciences (ICDS) invites applicants for an AI/ML Data Science Engineer to join the RISE team on-site at University Park, PA. The role focuses on designing and implementing AI/ML/DL solutions, supporting researchers with scalable data workflows and scientific software.

Ideal candidates bring experience with Python, TensorFlow, GPUs, HPC, and large language / generative AI models, plus strong communication and documentation skills to work

Qualifications

• Linux-based computing, HPC, GPU-enabled environments, distributed or cluster-based systems, and AI infrastructure experience.
• 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 develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational issues; collaborate with researchers; and document clearly.

Responsibilities

• Provide technical expertise to university constituents in research, specification, design, development, and implementation of AI/ML/DL solutions.
• Apply machine learning, deep learning, AI, big data and software development to assist researchers in their projects and grants.
• Define scope and objectives, provide program design, coding, testing, debugging, and documentation; advance researchers' goals with data solutions.

Skills

Linux

HPC

GPU clusters

AI infrastructure

Python

TensorFlow

Large language models

Generative AI

Multimodal models

Reinforcement learning

SQL

R

MATLAB

C/C++

Power BI

Education

PhD in Machine Learning

Tools

Python

TensorFlow

Power BI

SQL

R

MATLAB

C/C++

Job description

POSITION SPECIFICS

The Institute for Computational and Data Sciences (ICDS) at Penn State is seeking a n Artificial Intelligence/Machine Learning Data Science Engineer to join our Research Innovations with Scientists and Engineers (RISE) team.

Work Arrangement : This position requires on-site work at University Park and is not supportive of remote work.

The position will report to the RISE Team Manager.

As the RISE AI/ML Engineer , your responsibilities include the following :

• 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.

R equired qualifications and skills include the following:

• 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.

D esired skills and experience include the following :

• 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.

Preferred Education:

A PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science , or a related field is preferred.

Candidates must also have impeccable ethics and integrity with a strong work ethic as well as strong interpersonal and written skills and the abil

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.