Member of Technical Staff - Research Engineer, Omni

Highlights

• Run end-to-end multimodal training and fold results into next Omni release.
• Drive open research on multimodal MoE and token-efficient encoders.
• Own inference and deployment path for shipped Omni models.

What they offer

• End-to-end ownership of shipped multimodal model with growing research time
• Competitive base salary plus equity
• Unlimited PTO plus company-wide Refill Days
• Comprehensive health coverage
• Paid leave for pregnancy, parenting, medical and caregiving needs

Ideal candidate

End-to-end owner who lives between research and engineering, curious about why methods work and cares about hardening infrastructure. Energized by small-team ownership of a shipped multimodal model from data to deployment.

Requirements

• Hands-on experience training ML models in a non-text modality such as vision
• Foundational understanding of how multimodal training works below the research layer
• Comfort working between research and engineering, running experiments and hardening code
• Ability to take training infrastructure and inference from experiment to production-ready
• Takes loosely defined problems through to done without being chased
• Research curiosity and care for infrastructure quality