# Research Engineers, Data at Distyl

- Company: Distyl
- What the company does: Architecting the AI-Native Enterprise. Distyl partners with the most ambitious enterprises to design and operationalize their AI transformations. Backed by Khosla, Lightspeed and Peak XV.
- Company website: https://distyl.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $150K to $250K base salary per year (USD)
- Posted: 2026-07-07
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/distyl/fe44469c-0f27-408c-878c-5e296b7db50e
- Page: https://www.1752.vc/careers/jobs/distyl-research-engineers-data/

## About the role

Design and build data systems that power reliable AI workflows across enterprise environments Develop pipelines for collecting, cleaning, transforming, labeling, and evaluating domain-specific data used by AI systems

## What they're looking for

- Experience Building Data Systems for AI: You have built data pipelines, evaluation datasets, labeling workflows, retrieval corpora, or similar systems that improve model or agent behavior
- Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and pipeline reliability, and can build systems that are maintainable under production constraints
- Research-Oriented Builder: You are comfortable investigating how data quality, structure, and representation affect AI system performance
- AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, exploration, and workflow automation
- Comfort with Ambiguous Data: You can reason through messy enterprise datasets, incomplete documentation, conflicting business definitions, and changing requirements
- Bias Towards Measurement: You prefer to make data quality and system behavior observable through concrete metrics, evaluations, and experiments

Tags: Research