Machine Learning Research Computing Facilitator
Job Summary
The Center for High Throughput Computing (CHTC) is hiring a Machine Learning Research Computing Facilitator to join the Research Computing Facilitation team. CHTC's Research Computing Facilitation team introduces researchers to large-scale computational approaches and enables their use of large-scale computing systems like CHTC's in-house clusters and the Open Science Pool and PATh Facility (operated by the NSF Partnership to Advance Throughput Computing (PATh) project). The Machine Learning Facilitator role complements the existing Facilitation team by providing specific support to researchers regarding AI/machine learning (ML) methods and implementation on shared computing systems.
Specific tasks for this role may include:
- Formalize an understanding of automation, data and computing needs for AI workloads and communicate these with the CHTC team.
- Provide recommendations and develop reference examples, prompts, & scripts for specific needs for AI/ML workloads. Example Techniques include:
- Implementing checkpointing
- Handling large datasets
- Managing large number of tasks (for inference)
- Profiling GPU code
- Develop and deliver presentations, training materials and user guides specific to AI workloads.
- Participate in campus events around AI and connect AI users with shared problems and solutions at CHTC.
- Identify gaps in tooling and recommendations for CHTC users to leverage agentic AI.
- Provide input into and manage owned capacity and priority schemes.
Key Job Responsibilities
- Contributes to the design and content development of documentation, training content, and/or advanced curricula, and instructs at workshops
- May provide consultation and expertise for aspects of research proposals specific to research CI. May serve as a project contributor for a research proposal or Co-Principal Investigator on proposals around facilitation functions
- Connects and coordinates interactions between researchers and technology providers. Provides regular communications to and/or collaborates with the systems and software/data professionals regarding service enhancements
- Communicates and collaborates with internal collaborators and/or potential external collaborators around facilitation and relevant service models
- Engages with researchers in their selection and use of relevant CI systems, tools, and computing strategies. Contributes to facilitating the design and debugging of research workflows alongside researchers
- May contribute to regular communications with researchers and internal stakeholders
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