Who can apply: Only open to applicants in: New York.
Location as listed by the employer: “San Francisco; New York”
Apply on Distyl's site ↗
Opens the employer's official application page.
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About this role
Distyl is hiring for a Research Engineers, Post-Training role (full-time). See the official posting for full details.
Requirements
- 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
- Comfort with Applied Constraints: You can balance research ambition with practical constraints around cost, latency, reliability, data availability, and customer requirements
- Ownership Mentality: You take responsibility for whether post-training work improves real system outcomes, not just offline scores
Summarized from the employer's posting — check the full posting for every requirement.
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