Principal Machine Learning Engineer

Responsibilities

• Build new ML systems from the ground up, close data gaps as they arise, and maintain and improve the existing ML pipeline.
• Read and implement ML papers on alternative model architectures, then run training experiments to benchmark results against current production models. From your scopehelp define the long-term search vision, especially given how LLMs have shifted what's possible
• Stand up and manage infrastructure, such as a Redis cluster, to support ML workloads.
• Weigh in on and help drive architecture decisions and statistical methodology alongside the broader engineering team.
• Help shape Thrive Market's long-term vision for search and discovery, informed by how large language models have changed what's possible to build. From your scopehelp define the long-term search vision, especially given how LLMs have shifted what's possible
• Present model results and roadmap, including business and revenue impact

Languages