Research Engineer

Job Summary

Focused on deploying and optimizing frontier AI models in production, the full-time remote Research Engineer will manage the systems that transform research breakthroughs into real-time products, ensuring high performance in latency-sensitive applications.

Key responsibilities

• Deploy state-of-the-art models to production and oversee the transition from research to serving infrastructure
• Optimize inference performance across the stack, utilizing techniques such as quantization and batching strategies
• Build and tune high-performance serving systems for real-time, streaming workloads

Required qualifications

• Experience deploying and serving ML models in production, particularly for latency-sensitive applications
• Strong engineering skills in GPU programming and inference optimization (e.g., CUDA, Triton, TensorRT)
• Ability to autonomously diagnose and eliminate bottlenecks across the serving stack
• Demonstrated capability in creating tooling for measuring performance characteristics