Tech Stack
Responsibilities
- Identify high-value data sources and translate them into representative evaluations for model behaviors
- Design and build evaluations, graders, and feedback loops that make priority real-world model behaviors measurable
- Analyze model performance and failure modes to translate insights into targeted datasets and training interventions
- Develop human and synthetic data strategies, including designing and running evaluation and data-collection programs with vendors
- Build the infrastructure and pipelines needed to ingest, inspect, version, and evaluate data reliably at scale
Benefits
- Equity
- Gym Membership
- Health Insurance
- Parental Leave
Culture
Flat HierarchyFast-PacedStartup EnergyMission-DrivenCross-Functional TeamsFree Meals/Snacks
Requirements
Required: Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience
Regions: Us
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About Reflection AI
Industry: saas
Size: startup
Reflection is an AI research lab focused on building open foundational models to make intelligence accessible to everyone.
View company profile →Compensation
Equity: Stock options offered
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