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Postdoctoral Appointee — Data Infrastructure And Software For AI
Research and develop data management infrastructure for AI applications on exascale supercomputing systems.
Remote
Entry Level
4 days ago
Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.
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✨ About The Role
- This postdoctoral position focuses on developing and scaling data infrastructure and software for AI applications on supercomputing systems.
- The role involves multimodal data management for science applications, integrating and analyzing diverse data types.
- A key responsibility will be to leverage Aurora's storage system, DAOS, to support AI-driven applications.
- The postdoc will evaluate vector databases and retrieval-augmented generation (RAG) for AI fine-tuning and inference.
- The position requires collaboration with various applications and systems to optimize AI applications at scale.
⚡ Requirements
- The ideal candidate will have recently completed a PhD in computer science, computational science, physical science, engineering, or a related field.
- Strong programming skills in languages such as Python or C/C++ are essential for success in this role.
- Experience with AI frameworks like PyTorch or TensorFlow is highly desirable.
- Effective communication skills, both written and oral, are necessary to collaborate with a multidisciplinary team.
- The candidate should embody Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
About Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.