Tech Stack
Responsibilities
- Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures.
- Conduct research on model efficiency, quantization, compression, and on-device deployment.
- Prototype novel model architectures, training methods, and inference strategies for distributed AI.
- Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance.
- Collaborate with engineering teams to integrate research findings into production systems.
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
- Learning Budget
- Parental Leave
Culture
Mission-DrivenCustomer-ObsessedTransparent LeadershipOwnershipStartup Energy
Requirements
Required: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Preferred: Master’s or PhD in Machine Learning, Computer Science, AI, or a related field
Regions: Us
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About webai
Industry: ai
webAI is building the first distributed AI infrastructure for personalized AI, focusing on privacy-preserving, scalable AI models deployed on consumer hardware. Their mission is to empower enterprises with secure, efficient, and user-controlled AI that understands unique business needs.
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