Principal NLP Scientist, Production AI for Science

7741 WILEY APAC SERVICES LLP; United States; Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Wiley in the United States is seeking a principal data scientist to own domain-specific content modeling end to end, from eval sets to production pipelines that process millions of journal articles. You will design NLP enrichment pipelines, compare approaches (traditional NLP vs LLMs), write production Python, and collaborate with editors, PMs, and engineers to ship reliable AI features at scale.

This hands-on role emphasizes delivering real user value in a fast-changing market, with

Qualifications

• Deep Python: production-grade, scalable Python code.
• Strong NLP background: modern and classical approaches, evaluations.
• Habit of comparing approaches and defending choices with evals and costs.
• Track record of shipping real, usable systems.

Responsabilités

• Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full-text at scale.
• Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task.
• Own evaluation: build golden sets, choose metrics, and balance speed, quality, and cost.
• Write production-quality Python; manage concurrency and cost for high-volume LLM workloads.
• Collaborate with data engineers to orchestrate work in Airflow and Dagster; design reliable pipeline stages.
• Contribute to agentic AI applications: tool use, multi-step reasoning, guardrails, and evaluation.

Connaissances

Python production

NLP with LLMs

Model evaluation

Shipping systems

Outils

Airflow

Dagster

S3

SageMaker

Parquet

Iceberg

Lambda

Description du poste

Wiley in the United States is seeking a principal data scientist to own domain-specific content modeling end to end, from eval sets to production pipelines that process millions of journal articles. You will design NLP enrichment pipelines, compare approaches (traditional NLP vs LLMs), write production Python, and collaborate with editors, PMs, and engineers to ship reliable AI features at scale.

This hands-on role emphasizes delivering real user value in a fast-changing market, with