UST in the United States seeks a Machine Learning Engineer II to develop multi-agent workloads, optimize inference across OMIX/compute stacks, and improve latency and throughput. The role emphasizes hands-on Python and C/C++, GitHub usage, and proficiency with frameworks like LangGraph/LangChain; location Oregon; compensation is $82,000-$123,000 per year with full benefits.
The engineer will work across model selection, evaluation, and deployment for diverse agent workloads, leveraging
#J-18808-LjbffrML Engineer II: Multi-Agent AI & Inference Optimizer in oregon at Unknown Company
This position is listed as full time and onsite.