Research Engineers, Data

The role

Research Engineers build the bridge between frontier AI research and production systems. They design and implement compound AI systems, run experiments, and build evaluation frameworks to turn concepts into reliable systems for customer environments.

What you will do

• 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
• Create data quality frameworks to identify failure modes
• Build tools and workflows to turn raw customer data into usable context
• Partner with AI Researchers and AI Engineers to understand data quality effects
• Develop synthetic data, annotation, and feedback-loop strategies
• Analyze customer workflows and datasets to determine information needs
• Communicate data assumptions, limitations, risks, and tradeoffs to internal teams and customer stakeholders

Required qualifications

• Experience Building Data Systems for AI
• Strong Data Engineering Fundamentals
• Clean Python and SQL
• Understand data modeling and pipeline reliability
• Research-Oriented Builder
• AI-Native Working Style
• Comfort with Ambiguous Data
• Bias Towards Measurement
• Customer Environment Readiness
• Ownership Mentality

Benefits

• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible time off
• Retirement and financial planning benefits
• Access to pre-tax HSA, FSA, and commuter accounts
• 401(k)
• Financial coaching resources
• Physical fitness, mental well-being, and fertility and family-building benefits through Carrot
• Complimentary in-office lunches and snacks

About the company

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. They research and deploy technologies that power AI-native operations.