AI Research Engineer, Handshake AI at Handshake

The Research Engineer will design and implement post-training systems and methodologies in close partnership with research scientists and domain experts. They will build and maintain infrastructure supporting large-scale model training, specialized data processing, and benchmark evaluation. Responsibilities include developing robust frameworks for verifying the quality and integrity of highly specialized domain datasets, creating next-generation LLM benchmarks to push the boundaries of model evaluation and capabilities assessment, and optimizing performance across software and hardware layers to accelerate post-training experimentation and deployment. The role also involves collaborating across disciplines to ensure rigorous validation of model improvements and benchmark reliability.