AI/Synthetic Engineer

SHRM is a member-driven catalyst for creating better workplaces where people and businesses thrive together. As the trusted authority on all things work, SHRM is the foremost expert, researcher, advocate, and thought leader on issues and innovations impacting today’s evolving workplaces. With nearly 340,000 members in 180 countries, SHRM touches the lives of more than 362 million workers and their families globally.

Summary

Build the organization’s synthetic-audience capability

the data-grounding layer that connects first-party audience data to large language models, the synthetic-audience models themselves, and the engineering pipelines and evaluation harness around them. Direct the synthetic-capability partner and the foundation-model infrastructure beneath it and operate the validation harness that the team will use to judge accuracy. This is an engineering role at heart but applied entirely to research questions.

Responsibilities

• Design and build the first-party data grounding layer (embeddings / retrieval) that anchors synthetic audiences in real segment data.
• Build, tune, and maintain synthetic-audience models and the prompt/evaluation pipelines around them.
• Operate the validation harness: run synthetic output against real holdout data and surface accuracy bounds for the Verification & Validation Data Scientist to interpret.
• Direct the synthetic-capability partner; manage foundation-model infrastructure and keep the architecture portable across providers.
• Build guardrails that prevent confident-but-wrong output from reaching stakeholders unflagged.
• Protect data ownership and ensure member data never trains external shared models.

Education & Experience Requirements

Education

* Bachelor’s degree in computer science or related field or relevant equivalent experience in lieu of degree. Master’s degree preferred.

Experience

* Seven (7) or more years in ML/LLM engineering or applied data science, includi...