Research Engineer - Model Evaluation & MLOps
Sciforium, San Francisco, CA
About the job
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
About the role
As a Research Engineer focused on Model Evaluation & MLOps, you will build the tools and infrastructure needed to evaluate, deploy, and operate multimodal foundation models reliably. You will rapidly enable Sciforium’s models and the latest open-weight models on GPUs, automate quality and performance benchmarking, and improve the MLOps workflows that connect research experiments to reliable releases.
Key Responsibilities
Model enablement & automated evaluation
- Rapidly integrate new internal and open-weight language and multimodal models into our GPU evaluation and inference environments.
- Build automated benchmarks for model quality and systems performance, including latency, throughput, and memory usage.