Research Engineer - Model Evaluation & MLOps

Sciforium is an AI infrastructure company developing multimodal AI models and a high-efficiency serving platform. The Research Engineer will build tools and infrastructure to evaluate, deploy, and operate multimodal foundation models, automate benchmarking, and improve MLOps workflows connecting research experiments to reliable releases.

Responsibilities:

• 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
• Create standardized, reproducible comparisons across Sciforium models, external baselines, and runtime configurations
• Build and maintain experiment tracking, model registry, and versioning for models, datasets, and evaluation configurations
• Automate the path from research checkpoints to validated deployments through CI/CD and reproducible workflows
• Monitor model quality and systems performance, and diagnose failures or regressions across model and deployment pipelines
• Build reusable tools that help researchers launch evaluations, compare experiments, and reproduce results
• Profile end-to-end model workloads and collaborate with distributed systems, inference, and GPU kernel engineers on deeper performance issues