Hybrid Enterprise AI Research Scientist — LLM & Agentic

WRITER; New York (NY); Hybrid; USD 168,000 - 233,000; Full time

Benefits offered by this job

Generous PTO

Medical/Dental/Vision

Parental leave

Fertility and family planning support

Galleri cancer testing

FSAs/HSA

Stipends for learning & wellbeing

Off-sites & team events

Stock options & 401k

Job summary

WRITER is seeking an AI research scientist for a hybrid role based in San Francisco or New York City. You will lead high-impact research on large language models, agentic reasoning, and enterprise systems, shipping improvements into production used by thousands of people daily.

The role requires a PhD or equivalent and 4+ years of ML research, with hands-on experience in SFT, RLHF, RLAIF, and tool-use. You will collaborate closely across research, engineering, and product teams and publish at

Qualifications

• 4+ years of hands-on ML research focused on large language models and enterprise-scale systems.
• PhD in Computer Science, ML, NLP, or equivalent with a strong publication record.
• Expertise in post-training methods (SFT, RLHF, RLAIF, DPO) and alignment techniques.
• Proficiency in Python and PyTorch (or JAX) for building training pipelines.

Responsibilities

• Work on high-impact research on LLMs and agentic systems for enterprise use.
• Design experiments for post-training methods and multi-step reasoning.
• Develop evaluation benchmarks and scalable data pipelines.
• Shape model architecture roadmaps with research and product teams.
• Publish and present at top venues (NeurIPS, ICML, ACL, etc.).
• Collaborate with researchers and engineers to raise scientific rigor.
• Contribute to enterprise AI deployments used by thousands daily.

Skills

4+ years ML research

PhD in CS/ML/NLP

SFT RLHF RL AIF

Python & PyTorch

Publications in ML venues

Agentic systems expertise

Strong collaboration

Education

PhD in CS/ML/NLP or equivalent

Job description

WRITER is seeking an AI research scientist for a hybrid role based in San Francisco or New York City. You will lead high-impact research on large language models, agentic reasoning, and enterprise systems, shipping improvements into production used by thousands of people daily.

The role requires a PhD or equivalent and 4+ years of ML research, with hands-on experience in SFT, RLHF, RLAIF, and tool-use. You will collaborate closely across research, engineering, and product teams and publish at