AI/ML Engineer (Synthetic Data)
Core
Build production models for survey augmentation, audience profiling, and agentic insights to simulate respondent behavior and answer research questions.
Role type
Senior IC machine-learning engineer (synthetic data)
Builds
Survey Augmentation, Audience Profiling, Agentic Insights products
Domain
Market research technology (ResTech) / Synthetic data generation
Deliverable
production ML models
Required skills
Python, mathematics, probability, statistics, algorithms, traditional machine learning (SVM, gradient boosting), LLM architecture, fine-tuning (LoRA, distillation), SQL
Preferred skills
Java, Databricks, FastAPI, Docker, Kubernetes, AWS, GitHub, Claude Code, agentic programming tools
Technologies
Python, FastAPI, Docker, Kubernetes, AWS, GitHub, Claude Code
Responsibilities
Design, train, evaluate, and deploy models against real survey data; design experiments, baselines, and models for best-in-class simulation; partner with data science on statistical testing integrity; leverage AI tooling for complex problem solving.
Seniority
Senior, hands-on IC