Distyl AI

Research Engineers, Post-Training

San Francisco

Sponsorship not specifiedDetected 14 days ago

A/B TestingSupply ChainSystems EngineeringManual TestingResearch

About the role

ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI.
As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Research Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment.

Design and run post-training workflows that improve the behavior, reliability, and usefulness of AI systems
Develop datasets, preference signals, evaluation suites, reward models, fine-tuning workflows, and feedback loops for applied AI use cases
Build infrastructure for experimentation, model comparison, regression testing, and behavior analysis
Partner with AI Researchers to explore new post-training methods and with AI Engineers to apply successful techniques in deployed systems
Create repeatable processes for adapting AI systems to customer domains while preserving robustness, transparency, and maintainability

Research-Oriented Builder: You care about understanding why behavior changes, not just whether a benchmark improves
AI-Native Working

Experience Improving Model Behavior: You have worked with fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evals, or related post-training techniques

a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.

This listing is sourced directly from Distyl AI's careers page and normalized into a canonical job model.