Diffbot
11 - 50 employees
Founded 2011
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $10M Series A - Diffbot on 2016-02
Artificial Intelligence • API • SaaS
Diffbot is a company that provides web data extraction and knowledge-graph services to turn the public web into structured, machine-readable data for AI and analytics. Its platform includes products such as Extract, Crawl, Natural Language, Knowledge Graph, and LeadGraph, and offers APIs to fetch structured organizations, news/articles, products, discussions, and events at scale. Diffbot emphasizes large-scale automated web crawling and entity extraction (the company cites indexing content from over 1. 2 billion public websites and maintaining datasets such as 1. 6B articles, 246M organizations, and 3M retail products) to power use cases like market intelligence, news monitoring, e-commerce data, and training/augmenting AI systems.
Machine Learning Engineer
Job not on LinkedIn
🕒 July 27
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Diffbot
11 - 50 employees
Founded 2011
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $10M Series A - Diffbot on 2016-02
Artificial Intelligence • API • SaaS
Diffbot is a company that provides web data extraction and knowledge-graph services to turn the public web into structured, machine-readable data for AI and analytics. Its platform includes products such as Extract, Crawl, Natural Language, Knowledge Graph, and LeadGraph, and offers APIs to fetch structured organizations, news/articles, products, discussions, and events at scale. Diffbot emphasizes large-scale automated web crawling and entity extraction (the company cites indexing content from over 1. 2 billion public websites and maintaining datasets such as 1. 6B articles, 246M organizations, and 3M retail products) to power use cases like market intelligence, news monitoring, e-commerce data, and training/augmenting AI systems.
📋 Description
• Improve accuracy of our production machine learning systems by applying the latest published research, feature engineering, and tuning of model hyperparameters • Own end-to-end accuracy and performance for our 60+ machine learning problems • Be up to date on the latest research publications, and rapidly assess the latest results for production and scalability potential • Work closely with product leadership and customers on training datasets and error analysis
🎯 Requirements
• Masters in Computer Science or equivalent work experience • Industry experience designing and developing software • Experience implementing the latest machine learning algorithms • Experience in designing performant production systems • Production/deployment engineering in java
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