Research Program Manager — Model Eval & Safety (0→1)

Reflection AI Ltd; New York (NY); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited PTO

Visa sponsorship

Team off-sites

Résumé du poste

Reflection invites a Research Program Manager to join as a foundational, zero-to-one function creator for model safety and evaluation. You will define evaluation frameworks, build operational infrastructure for safety, and connect evals to the model development lifecycle.

You’ll work with researchers and engineers to ensure rigorous yet nimble processes that scale with rapid AI progress. You will lead cross-functional collaboration, establish workflows and cadence, and drive risk-informed

Qualifications

• 7+ years in technical program management, research operations, or ML engineering.
• Familiar with model evaluation and AI safety, including evaluation methodologies and red-teaming.
• Deep technical ability to engage with researchers and engineers on model behavior and data pipelines.

Responsabilités

• Define evaluation frameworks and tooling for model evals and safety.
• Stand up model safety operations with workflows and decision frameworks.
• Embed safety checkpoints across pre-training to post-training workflows.
• Prioritize eval science and infrastructure investments with technical leads.
• Engage with external safety ecosystem and represent safety posture externally.
• Create visibility and reporting structures for leadership on safety status.

Connaissances

Technical program mgmt

Research operations

ML engineering

Stakeholder mgmt

Problem solving

Outils

Model evals

Description du poste

Reflection invites a Research Program Manager to join as a foundational, zero-to-one function creator for model safety and evaluation. You will define evaluation frameworks, build operational infrastructure for safety, and connect evals to the model development lifecycle.

You’ll work with researchers and engineers to ensure rigorous yet nimble processes that scale with rapid AI progress. You will lead cross-functional collaboration, establish workflows and cadence, and drive risk-informed