Ambral
Member of Technical Staff (New Grad)
New York. Posted 2 months ago
The role
You will build a replayable environment engine over real enterprise history. You will help build infrastructure and work with customers to turn enterprise data into a scalable model-improvement system.
What you will do
- Forward deploying with customers to understand tasks and data
- Developing the environment factory to convert enterprise data into runnable environments
- Designing graders to turn business objectives into verifiable rewards
- Developing methods for mining tasks, trajectories, and evaluation cases from historical workflows
- Experimenting with learning objectives and task design
- Creating representative and reproducible eval sets
- Finding combinations of models, tools, context, and policies to maximize performance and reduce cost
- Building replay and observability systems
Required qualifications
- Experience building production-grade software or in a quant role
- Ability to write strong software and build systems that process large, messy datasets at scale
- Intuition about systems, abstraction, and data structures
- Ability to turn fuzzy business objectives into tasks and signals
- Ability to diagnose model limitations from model, context, tools, harness, or training
- Ability to move between research questions and production implementation
- Care for reproducibility, observability, and understanding model behavior
Benefits
- Significant equity and ownership
- Equinox membership
- Free meals, coffee, and snacks
- Health insurance
- Unlimited PTO
About the company
Ambral helps enterprises own the intelligence behind their most important workflows. They graduated from YC S2025 and are growing the founding team.