Sciforium
LLM Training Engineer
San Francisco
Sponsorship not specifiedDetected 119 days ago
Distributed SystemsFull-Stack DevelopmentMachine LearningDeep LearningData EngineeringLLMsMLOpsResearch
About the role
- As an LLM Training 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.
- This role spans multiple tracks - candidates may focus on one or contribute across several.
- Train large byte-native foundation models across massive, heterogeneous corpora
Responsibilities
- 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.
- 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.
- Design stable training recipes and scaling laws for novel architectures
- Build and maintain distributed training infrastructure and fault-tolerant pipelines
- Develop post-training pipelines (SFT, preference optimization, RLHF/RLAIF, RL)
- Design offline + online environments that support RL-style training at scale
- Build high-performance serving pipelines (KV caching, batching, quantization, etc.)
- Bias toward building - you can turn ideas into working code and results
Skills
- Strong general software engineering skills (writing robust, performant systems)
Compensation
- Competitive salary and equity
Benefits
- Medical, dental, and vision insurance
- Flexible time off
- Competitive salary and equity
- MS or PhD in Computer Science, Machine Learning, AI, Mathematics, or related field
- Build scalable sandbox environments for agent evaluation and learning
Company info
- Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform.
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.
Visa & Work Authorization
- 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.
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This listing is sourced directly from Sciforium's careers page and normalized into a canonical job model.