Research Engineers, Data
Core
Build data systems, pipelines, and evaluation frameworks that power reliable AI workflows and improve model/agent behavior in enterprise environments.
Role type
Senior Research Engineer (Data Systems & AI)
Builds
Data pipelines, evaluation datasets, labeling workflows, retrieval corpora, and data quality frameworks for production AI systems.
Domain
Applied AI, Enterprise Data Engineering, AI System Reliability
Deliverable
production ML models | product features
Required skills
Python, SQL, data modeling, pipeline reliability, data quality assessment, synthetic data generation, experiment design, stakeholder communication
Preferred skills
Experience with retrieval-augmented generation (RAG), agent behavior analysis, noisy data handling, AI tooling for development
Technologies
Python, SQL, modern AI tools
Responsibilities
Design and build data systems for reliable AI workflows; Develop pipelines for collecting, cleaning, transforming, and evaluating domain-specific data; Create data quality frameworks to identify coverage gaps, drift, and leakage; Build tools to turn raw customer data into usable context for AI; Partner with researchers and engineers to link data quality to system behavior; Develop synthetic data and feedback-loop strategies; Analyze customer workflows to define data needs for AI systems.
Seniority
Senior, hands-on IC