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VI
Hybrid Member of Technical Staff – Foundation Model Architecture, AI Infrastructure
Posted last month
About the role
- AI Architect designing and scaling core operator intelligence layer for foundation models at Vinci. Engaging in architectural ownership and shipping capabilities into production environments.
Responsibilities
- Define and scale the core operator intelligence layer
- Design and refine transformer variants for structured spatial domains
- Expand distributed training beyond 45TB-scale datasets
- Improve generalization across heterogeneous operator distributions
- Develop graph-transformer systems for multi-entity interactions
- Ship expanded operator capabilities into production
Requirements
- Deep experience in foundation model architecture
- Transformer variants (sparse, hierarchical, graph-based)
- Distributed training systems
- Production ML system design
- Scaling structured datasets
- Writing clean, maintainable, high-quality code
- Strong software engineering fundamentals
- Experience with modern ML stacks (e.g., PyTorch and distributed training ecosystems)
- Strong CI, regression testing, and validation discipline
Benefits
- High ownership at Series A stage
- Opportunity to define a foundational abstraction layer early
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