Machine Learning Engineer

• Reviewing client requests for AI software and services, gathering information about client use cases, software, and system requirements.
• Developing documentation and training materials on best practices for ML workflows on shared HPC systems.
• Participating in campus visits, training events, and other outreach activities to share information on OSC's AI offerings with current or prospective clients and to gather feedback from the community.
• Investigating and proposing solutions to client support cases related to AI software on OSC's HPC systems.
• Installing, testing, and maintaining software for developing and deploying ML models.
• Keeping current in ML developments, software frameworks, and tools for research applications.
• Attending Ohio, regional, and national professional meetings, workshops, and conferences.

The Machine Learning Engineer will have the opportunity to work with leading-edge GPU and HPC technologies and engage with domain experts. A hybrid work schedule is an option.

OSC, along with OARnet and OhioLINK, is part of the Ohio Technology Consortium (OH-TECH), the technology and information division of the Ohio Department of Higher Education (ODHE). OH-TECH provides high-tech solutions for Ohio's higher education institutions to catalyze innovation in the modern knowledge economy. OH-TECH is a welcoming and supportive work environment.

Because The Ohio State University serves as OH-TECH's fiscal and legal agent, OH-TECH staff enjoy the same benefits as other Ohio State employees, including participation in the Ohio Public Employees Retirement System (OPERS), the Ohio State Health Plan, employee wellness and work-life balance programs, educational benefits, discount programs, and more.

• Bachelor's degree in computer science, computer engineering, information technology, or an equivalent combination of education and experience
• 2 years of relevant work experience
• Demonstrated competency with Linux command line
• Experience programming in Python, Matlab, or R
• Experience with ML frameworks such as PyTorch or with LLM APIs
• Understanding of ML fundamentals including regression, classification, neural networks, etc.
• Experience with software development practices and tools, such as git
• Eligible to work in an export-controlled environment
• Experience communicating technical topics to a range of audiences

Desired Education/Experience:

• HPC experience: familiar with Open OnDemand, Slurm, MPI, and/or GPU computing
• Familiarity with cloud technologies, Kubernetes, and container technologies
• Familiarity with open-source AI software stacks and APIs
• Experience in an IT, research computing, or related client support role

The Ohio Supercomputer Center (OSC) is hiring a Machine Learning (ML) Engineer for its Scientific Applications (SciApps) group. SciApps's mission is to provide a comprehensive scientific software environment on the high performance computing (HPC) systems for supporting client research and helping clients efficiently utilize OSC's HPC resources. OSC accelerates discovery for Ohio's academic and commercial researchers by providing accessible, reliable, and secure high performance computing power at a fraction of the cost of alternatives, along with expert consultation and secure storage.