Ravenpack
RavenPack is seeking an experienced Machine Learning / NLP Engineer to lead a high-impact infrastructure project focused on designing, evaluating, and deploying advanced ML models. The role involves integrating modern NLP and transformer-based approaches into existing high-precision detection pipelines to create a powerful hybrid architecture. This position requires optimizing models for low-latency inference and establishing continuous learning systems to enhance financial AI capabilities.
RavenPack is a leading provider of technology and data-driven insights for firms that rely on alternative and news analytics. They transform unstructured content (news, transcripts, filings) into structured signals—sentiment, event and entity-level data—used for equity research, risk, quant strategies, and portfolio decisions. Major customers include hedge funds, banks and asset managers, and RavenPack delivers its products via scalable datasets, APIs and analytics tools. Founded in 2003 and headquartered in Marbella, Spain, the company emphasizes enterprise-grade infrastructure for large-scale, real‑time analytics.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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Ravenpack didn’t post a salary, so this is our estimate from similar listings.