4 months ago
Responsibilities
- Train end-to-end models for fault prediction and network state modeling.
- Build multi-modal models over structured networking data.
- Evaluate model performance in real-world hardware and virtualized environments.
- Collaborate with firmware and application teams to ship models into production.
- Define modeling approaches and contribute to team culture.
Requirements
- Experience building, training, and scaling neural networks from the ground up.
- Ability to think in systems rather than just benchmarks.
- Excitement for modeling the physical world and collaborating across hardware and software stacks.
- Desire to contribute to the technical DNA of a new applied research organization.
Benefits
- Access to thousands of H100s for model training and development.
- Opportunity to shape the technical roadmap and culture of the team.
- Work directly with founders and influential investors.