Member of Technical Staff – Foundation Model Architecture, AI Infrastructure
Vinci4D.ai
full-time
Posted on:
Location Type: Hybrid
Location: Palo Alto • California • United States
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Salary
💰 $100,000 - $220,000 per year
Job Level
Tech Stack
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
foundation model architecturetransformer variantsdistributed training systemsproduction ML system designscaling structured datasetsclean codehigh-quality codesoftware engineering fundamentalsmodern ML stacksCI, regression testing, validation