AI Research Scientist

Join WRITER, a leading enterprise AI company, as an AI Research Scientist. In this role, you will drive a high-impact research agenda focused on large language models and agentic reasoning. You will have the opportunity to shape the future of enterprise AI and directly impact the products used by hundreds of thousands of people every day. You will report to the VP of AI research and have the resources and support to pursue ambitious ideas.

• Conduire un programme de recherche indépendant et à fort impact sur les grands modèles de langage et les systèmes agentiques, en possédant des projets depuis l'hypothèse initiale jusqu'à la formation du modèle, l'évaluation et le déploiement en production.
• Concevoir et exécuter des expériences à grande échelle après l'entraînement, en utilisant l'affinage supervisé, l'apprentissage par renforcement à partir des retours humains, et d'autres techniques émergentes, avec un accent sur l'amélioration du raisonnement multi-étapes.
• Développer des pipelines de synthèse et de curation de données évolutifs qui génèrent le signal d'entraînement de haute qualité, y compris les cadres LLM-en-juge, la génération de données synthétiques et la construction de jeux de données adversariaux.

• Strong command of Python and PyTorch (or JAX), with the engineering depth to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows yourself — not just direct others to do it
• A Ph.D. in Computer Science, Machine Learning, NLP, or a related field — or equivalent demonstrated research experience with a strong portfolio of independent, published work
• The instincts and orientation that match WRITER's values: you Connect — you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge — you ask the hard questions, push back on conventional wisdom, and pursue the research directions others haven't tried yet; you Own — you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers
• Expert-level knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, GRPO, and related alignment and reasoning techniques, with a track record of applying them to real, production-grade systems
• A meaningful publication record at competitive ML/AI venues (NeurIPS, ICLR, ICML, ACL, EMNLP, or equivalent), evidencing your ability to originate ideas and execute on a multi-month research agenda independently
• Hands-on experience designing or evaluating agentic systems — models that plan, reason through multi-step tasks, use tools, and recover gracefully from errors — with a nuanced understanding of where they break and how to fix them
• 7+ years of hands-on ML research experience, with deep expertise in large language model pre-training and post-training — you've trained models at scale, debugged distributed jobs, and shipped improvements that made a measurable difference
• We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role