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pretraining and fine-tuning is a plus · Experience with multi- GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced
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datasets. Experience running compute-intensive machine learning experiments, including on high-performance or GPU computing clusters. Familiarity with AI tools and workflows (e.g., LLMs, AI-assisted coding
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experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU-enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g
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