# Research Engineers, Post-Training 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/96951117-efef-4f27-bbc4-671559d4af30
- Page: https://www.1752.vc/careers/jobs/distyl-research-engineers-post-training/

## About the role

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

## What they're looking for

- Experience Improving Model Behavior: You have worked with fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evals, or related post-training techniques
- Strong Programming and Experimentation Skills: You can build training and evaluation pipelines, run controlled experiments, analyze results, and iterate quickly
- Research-Oriented Builder: You care about understanding why behavior changes, not just whether a benchmark improves
- AI Systems Mindset: You understand that model behavior is shaped by data, prompts, tools, retrieval, evaluators, and deployment context—not model weights alone
- AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, experimentation, and research exploration
- Bias Towards Measurement: You make behavioral improvements concrete through evaluations, comparisons, regression tests, and production-relevant metrics

Tags: Research