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описание
Intapp's ML team builds the data and intelligence layer that powers products used by professional firms across legal, accounting, consulting, and private capital. The team develops systems that collect, enrich, and structure web data at scale, alongside ML components embedded across the product suite.
задачи
Design and maintain NLP pipelines that extract, classify, and enrich structured knowledge from unstructured web content;
Build and operate agentic workflows that automate data collection, validation, and maintenance with minimal human-in-the-loop overhead;
Collaborate with product and data engineering teams to ship ML components that improve the quality and reliability of data-driven products;
Evaluate and integrate frontier models where they reduce complexity or improve coverage, prioritizing production stability over novelty;
Own the full lifecycle of systems from design through deployment, monitoring, and iteration.
требования
Strong foundations in NLP and applied ML, with hands-on experience shipping systems to production;
Familiarity with agentic patterns, including tool use, multi-step reasoning, and retrieval-augmented systems, and their tradeoffs;
Experience working with large-scale, web-sourced data, including crawling, parsing, deduplication, entity resolution, or similar;
Comfort operating across the ML stack, including data pipelines, model training and evaluation, and inference infrastructure;
Clean coding skills, clear communication, and the ability to defend technical opinions;
Nice to have: Experience with knowledge graph construction or entity-centric data models, familiarity with LLM evaluation frameworks and production monitoring, background in domains where data quality is a core product quality signal.
условия
Training and continuing education reimbursement;
Complimentary lunches and fully stocked kitchens;
Comprehensive wellness programs and flexible time off;
Family-formation benefits and family-building support;
Paid volunteer time off and donation matching program.
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