Founding Machine Learning - Eval Layer

What You'll Do

• Train evaluation models: Develop VLMs that classify and verify policy behavior.
• Build confidence layers: Convert model outputs into trustworthy signals the customer can act on.
• Improve model grounding: Make the eval models reason accurately about physical and spatial scenes.
• Build a self-improving eval layer: Develop data engine that makes the eval models sharper with each customer's deployments and corrections.

Requirements

• Very strong coding in Python and PyTorch.
• VLM/LLM training: Track record in training VLMs or LLMs.
• Evals experience: Developed and shipped evals for VLMs or LLMs.

Compensation Range

$150K - $275K