Machine Learning Engineer

Research Engineer

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, you'll work across the full foundation-model stack : pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You'll build and iterate quickly on research ideas, contribute production-grade infrastructure, and help deliver models that can serve real-world use cases at scale.

What You'll Work On

This role spans multiple tracks - candidates may focus on one or contribute across several. Examples include :

Pretraining & Scaling

• Train large byte-native foundation models across massive, heterogeneous corpora
• Design stable training recipes and scaling laws for novel architectures
• Improve throughput, memory efficiency, and utilization on large GPU clusters
• Build and maintain distributed training infrastructure and fault-tolerant pipelines

Post-training & RL

Sandbox Environments & Evaluation

Deployment & Inference Optimization

Ideal Candidate Credentials

Technical strength

Relevant experience (one or more)

Research orientation

Education

Benefits Include

Equal Opportunity

Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.